Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/dataset.json +15 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/dataset_fingerprint.json +648 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/checkpoint_best.pth +3 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/checkpoint_final.pth +3 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/debug.json +53 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/progress.png +3 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/training_log_2025_11_1_00_13_18.txt +0 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_006.nii.gz +3 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_010.nii.gz +3 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_033.nii.gz +3 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_034.nii.gz +3 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_041.nii.gz +3 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_042.nii.gz +3 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_046.nii.gz +3 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_048.nii.gz +3 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_059.nii.gz +3 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_065.nii.gz +3 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_066.nii.gz +3 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_070.nii.gz +3 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_079.nii.gz +3 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/summary.json +234 -0
- Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/plans.json +532 -0
.gitattributes
CHANGED
|
@@ -45,3 +45,4 @@ Augmentation/Dataset021_wan2.1/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/pro
|
|
| 45 |
Augmentation/Dataset022_wan2.2/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/progress.png filter=lfs diff=lfs merge=lfs -text
|
| 46 |
Augmentation/Dataset023_leanvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/progress.png filter=lfs diff=lfs merge=lfs -text
|
| 47 |
Augmentation/Dataset024_videovaeplus/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/progress.png filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 45 |
Augmentation/Dataset022_wan2.2/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/progress.png filter=lfs diff=lfs merge=lfs -text
|
| 46 |
Augmentation/Dataset023_leanvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/progress.png filter=lfs diff=lfs merge=lfs -text
|
| 47 |
Augmentation/Dataset024_videovaeplus/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/progress.png filter=lfs diff=lfs merge=lfs -text
|
| 48 |
+
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/progress.png filter=lfs diff=lfs merge=lfs -text
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/dataset.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"channel_names": {
|
| 3 |
+
"0": "CT"
|
| 4 |
+
},
|
| 5 |
+
"labels": {
|
| 6 |
+
"background": 0,
|
| 7 |
+
"lung_tumor": 1
|
| 8 |
+
},
|
| 9 |
+
"numTraining": 63,
|
| 10 |
+
"file_ending": ".nii.gz",
|
| 11 |
+
"licence": "Whoever converted this dataset was lazy and didn't look it up!",
|
| 12 |
+
"converted_by": "Please enter your name, especially when sharing datasets with others in a common infrastructure!",
|
| 13 |
+
"overwrite_image_reader_writer": "NibabelIOWithReorient",
|
| 14 |
+
"name": "Dataset025_ivvae"
|
| 15 |
+
}
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/dataset_fingerprint.json
ADDED
|
@@ -0,0 +1,648 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"foreground_intensity_properties_per_channel": {
|
| 3 |
+
"0": {
|
| 4 |
+
"max": 1000.0,
|
| 5 |
+
"mean": -288.4901428222656,
|
| 6 |
+
"median": -184.0,
|
| 7 |
+
"min": -1000.0,
|
| 8 |
+
"percentile_00_5": -948.0,
|
| 9 |
+
"percentile_99_5": 216.0,
|
| 10 |
+
"std": 337.8271484375
|
| 11 |
+
}
|
| 12 |
+
},
|
| 13 |
+
"median_relative_size_after_cropping": 1.0,
|
| 14 |
+
"shapes_after_crop": [
|
| 15 |
+
[
|
| 16 |
+
304,
|
| 17 |
+
512,
|
| 18 |
+
512
|
| 19 |
+
],
|
| 20 |
+
[
|
| 21 |
+
288,
|
| 22 |
+
512,
|
| 23 |
+
512
|
| 24 |
+
],
|
| 25 |
+
[
|
| 26 |
+
276,
|
| 27 |
+
512,
|
| 28 |
+
512
|
| 29 |
+
],
|
| 30 |
+
[
|
| 31 |
+
329,
|
| 32 |
+
512,
|
| 33 |
+
512
|
| 34 |
+
],
|
| 35 |
+
[
|
| 36 |
+
567,
|
| 37 |
+
512,
|
| 38 |
+
512
|
| 39 |
+
],
|
| 40 |
+
[
|
| 41 |
+
301,
|
| 42 |
+
512,
|
| 43 |
+
512
|
| 44 |
+
],
|
| 45 |
+
[
|
| 46 |
+
241,
|
| 47 |
+
512,
|
| 48 |
+
512
|
| 49 |
+
],
|
| 50 |
+
[
|
| 51 |
+
589,
|
| 52 |
+
512,
|
| 53 |
+
512
|
| 54 |
+
],
|
| 55 |
+
[
|
| 56 |
+
277,
|
| 57 |
+
512,
|
| 58 |
+
512
|
| 59 |
+
],
|
| 60 |
+
[
|
| 61 |
+
228,
|
| 62 |
+
512,
|
| 63 |
+
512
|
| 64 |
+
],
|
| 65 |
+
[
|
| 66 |
+
273,
|
| 67 |
+
512,
|
| 68 |
+
512
|
| 69 |
+
],
|
| 70 |
+
[
|
| 71 |
+
314,
|
| 72 |
+
512,
|
| 73 |
+
512
|
| 74 |
+
],
|
| 75 |
+
[
|
| 76 |
+
483,
|
| 77 |
+
512,
|
| 78 |
+
512
|
| 79 |
+
],
|
| 80 |
+
[
|
| 81 |
+
531,
|
| 82 |
+
512,
|
| 83 |
+
512
|
| 84 |
+
],
|
| 85 |
+
[
|
| 86 |
+
376,
|
| 87 |
+
512,
|
| 88 |
+
512
|
| 89 |
+
],
|
| 90 |
+
[
|
| 91 |
+
227,
|
| 92 |
+
512,
|
| 93 |
+
512
|
| 94 |
+
],
|
| 95 |
+
[
|
| 96 |
+
264,
|
| 97 |
+
512,
|
| 98 |
+
512
|
| 99 |
+
],
|
| 100 |
+
[
|
| 101 |
+
251,
|
| 102 |
+
512,
|
| 103 |
+
512
|
| 104 |
+
],
|
| 105 |
+
[
|
| 106 |
+
255,
|
| 107 |
+
512,
|
| 108 |
+
512
|
| 109 |
+
],
|
| 110 |
+
[
|
| 111 |
+
304,
|
| 112 |
+
512,
|
| 113 |
+
512
|
| 114 |
+
],
|
| 115 |
+
[
|
| 116 |
+
260,
|
| 117 |
+
512,
|
| 118 |
+
512
|
| 119 |
+
],
|
| 120 |
+
[
|
| 121 |
+
296,
|
| 122 |
+
512,
|
| 123 |
+
512
|
| 124 |
+
],
|
| 125 |
+
[
|
| 126 |
+
271,
|
| 127 |
+
512,
|
| 128 |
+
512
|
| 129 |
+
],
|
| 130 |
+
[
|
| 131 |
+
126,
|
| 132 |
+
512,
|
| 133 |
+
512
|
| 134 |
+
],
|
| 135 |
+
[
|
| 136 |
+
125,
|
| 137 |
+
512,
|
| 138 |
+
512
|
| 139 |
+
],
|
| 140 |
+
[
|
| 141 |
+
240,
|
| 142 |
+
512,
|
| 143 |
+
512
|
| 144 |
+
],
|
| 145 |
+
[
|
| 146 |
+
125,
|
| 147 |
+
512,
|
| 148 |
+
512
|
| 149 |
+
],
|
| 150 |
+
[
|
| 151 |
+
129,
|
| 152 |
+
512,
|
| 153 |
+
512
|
| 154 |
+
],
|
| 155 |
+
[
|
| 156 |
+
282,
|
| 157 |
+
512,
|
| 158 |
+
512
|
| 159 |
+
],
|
| 160 |
+
[
|
| 161 |
+
252,
|
| 162 |
+
512,
|
| 163 |
+
512
|
| 164 |
+
],
|
| 165 |
+
[
|
| 166 |
+
226,
|
| 167 |
+
512,
|
| 168 |
+
512
|
| 169 |
+
],
|
| 170 |
+
[
|
| 171 |
+
636,
|
| 172 |
+
512,
|
| 173 |
+
512
|
| 174 |
+
],
|
| 175 |
+
[
|
| 176 |
+
322,
|
| 177 |
+
512,
|
| 178 |
+
512
|
| 179 |
+
],
|
| 180 |
+
[
|
| 181 |
+
291,
|
| 182 |
+
512,
|
| 183 |
+
512
|
| 184 |
+
],
|
| 185 |
+
[
|
| 186 |
+
155,
|
| 187 |
+
512,
|
| 188 |
+
512
|
| 189 |
+
],
|
| 190 |
+
[
|
| 191 |
+
252,
|
| 192 |
+
512,
|
| 193 |
+
512
|
| 194 |
+
],
|
| 195 |
+
[
|
| 196 |
+
241,
|
| 197 |
+
512,
|
| 198 |
+
512
|
| 199 |
+
],
|
| 200 |
+
[
|
| 201 |
+
242,
|
| 202 |
+
512,
|
| 203 |
+
512
|
| 204 |
+
],
|
| 205 |
+
[
|
| 206 |
+
112,
|
| 207 |
+
512,
|
| 208 |
+
512
|
| 209 |
+
],
|
| 210 |
+
[
|
| 211 |
+
241,
|
| 212 |
+
512,
|
| 213 |
+
512
|
| 214 |
+
],
|
| 215 |
+
[
|
| 216 |
+
218,
|
| 217 |
+
512,
|
| 218 |
+
512
|
| 219 |
+
],
|
| 220 |
+
[
|
| 221 |
+
211,
|
| 222 |
+
512,
|
| 223 |
+
512
|
| 224 |
+
],
|
| 225 |
+
[
|
| 226 |
+
243,
|
| 227 |
+
512,
|
| 228 |
+
512
|
| 229 |
+
],
|
| 230 |
+
[
|
| 231 |
+
248,
|
| 232 |
+
512,
|
| 233 |
+
512
|
| 234 |
+
],
|
| 235 |
+
[
|
| 236 |
+
128,
|
| 237 |
+
512,
|
| 238 |
+
512
|
| 239 |
+
],
|
| 240 |
+
[
|
| 241 |
+
241,
|
| 242 |
+
512,
|
| 243 |
+
512
|
| 244 |
+
],
|
| 245 |
+
[
|
| 246 |
+
242,
|
| 247 |
+
512,
|
| 248 |
+
512
|
| 249 |
+
],
|
| 250 |
+
[
|
| 251 |
+
266,
|
| 252 |
+
512,
|
| 253 |
+
512
|
| 254 |
+
],
|
| 255 |
+
[
|
| 256 |
+
289,
|
| 257 |
+
512,
|
| 258 |
+
512
|
| 259 |
+
],
|
| 260 |
+
[
|
| 261 |
+
493,
|
| 262 |
+
512,
|
| 263 |
+
512
|
| 264 |
+
],
|
| 265 |
+
[
|
| 266 |
+
369,
|
| 267 |
+
512,
|
| 268 |
+
512
|
| 269 |
+
],
|
| 270 |
+
[
|
| 271 |
+
423,
|
| 272 |
+
512,
|
| 273 |
+
512
|
| 274 |
+
],
|
| 275 |
+
[
|
| 276 |
+
115,
|
| 277 |
+
512,
|
| 278 |
+
512
|
| 279 |
+
],
|
| 280 |
+
[
|
| 281 |
+
251,
|
| 282 |
+
512,
|
| 283 |
+
512
|
| 284 |
+
],
|
| 285 |
+
[
|
| 286 |
+
450,
|
| 287 |
+
512,
|
| 288 |
+
512
|
| 289 |
+
],
|
| 290 |
+
[
|
| 291 |
+
249,
|
| 292 |
+
512,
|
| 293 |
+
512
|
| 294 |
+
],
|
| 295 |
+
[
|
| 296 |
+
256,
|
| 297 |
+
512,
|
| 298 |
+
512
|
| 299 |
+
],
|
| 300 |
+
[
|
| 301 |
+
241,
|
| 302 |
+
512,
|
| 303 |
+
512
|
| 304 |
+
],
|
| 305 |
+
[
|
| 306 |
+
267,
|
| 307 |
+
512,
|
| 308 |
+
512
|
| 309 |
+
],
|
| 310 |
+
[
|
| 311 |
+
245,
|
| 312 |
+
512,
|
| 313 |
+
512
|
| 314 |
+
],
|
| 315 |
+
[
|
| 316 |
+
228,
|
| 317 |
+
512,
|
| 318 |
+
512
|
| 319 |
+
],
|
| 320 |
+
[
|
| 321 |
+
231,
|
| 322 |
+
512,
|
| 323 |
+
512
|
| 324 |
+
],
|
| 325 |
+
[
|
| 326 |
+
251,
|
| 327 |
+
512,
|
| 328 |
+
512
|
| 329 |
+
]
|
| 330 |
+
],
|
| 331 |
+
"spacings": [
|
| 332 |
+
[
|
| 333 |
+
1.0,
|
| 334 |
+
0.693359375,
|
| 335 |
+
0.693359375
|
| 336 |
+
],
|
| 337 |
+
[
|
| 338 |
+
1.2456597089767456,
|
| 339 |
+
0.9375,
|
| 340 |
+
0.9375
|
| 341 |
+
],
|
| 342 |
+
[
|
| 343 |
+
1.2454710006713867,
|
| 344 |
+
0.828125,
|
| 345 |
+
0.828125
|
| 346 |
+
],
|
| 347 |
+
[
|
| 348 |
+
1.0,
|
| 349 |
+
0.654296875,
|
| 350 |
+
0.654296875
|
| 351 |
+
],
|
| 352 |
+
[
|
| 353 |
+
0.625,
|
| 354 |
+
0.9765620231628418,
|
| 355 |
+
0.9765620231628418
|
| 356 |
+
],
|
| 357 |
+
[
|
| 358 |
+
1.25,
|
| 359 |
+
0.8203120231628418,
|
| 360 |
+
0.8203120231628418
|
| 361 |
+
],
|
| 362 |
+
[
|
| 363 |
+
1.25,
|
| 364 |
+
0.5976560115814209,
|
| 365 |
+
0.5976560115814209
|
| 366 |
+
],
|
| 367 |
+
[
|
| 368 |
+
0.625,
|
| 369 |
+
0.7421879768371582,
|
| 370 |
+
0.7421879768371582
|
| 371 |
+
],
|
| 372 |
+
[
|
| 373 |
+
1.25,
|
| 374 |
+
0.8203120231628418,
|
| 375 |
+
0.8203120231628418
|
| 376 |
+
],
|
| 377 |
+
[
|
| 378 |
+
1.2445175647735596,
|
| 379 |
+
0.7773439884185791,
|
| 380 |
+
0.7773439884185791
|
| 381 |
+
],
|
| 382 |
+
[
|
| 383 |
+
1.25,
|
| 384 |
+
0.859375,
|
| 385 |
+
0.859375
|
| 386 |
+
],
|
| 387 |
+
[
|
| 388 |
+
1.0,
|
| 389 |
+
0.677734375,
|
| 390 |
+
0.677734375
|
| 391 |
+
],
|
| 392 |
+
[
|
| 393 |
+
0.625,
|
| 394 |
+
0.8417969942092896,
|
| 395 |
+
0.8417969942092896
|
| 396 |
+
],
|
| 397 |
+
[
|
| 398 |
+
0.625,
|
| 399 |
+
0.8203120231628418,
|
| 400 |
+
0.8203120231628418
|
| 401 |
+
],
|
| 402 |
+
[
|
| 403 |
+
0.9973404407501221,
|
| 404 |
+
0.8007810115814209,
|
| 405 |
+
0.8007810115814209
|
| 406 |
+
],
|
| 407 |
+
[
|
| 408 |
+
1.2444933652877808,
|
| 409 |
+
0.78125,
|
| 410 |
+
0.78125
|
| 411 |
+
],
|
| 412 |
+
[
|
| 413 |
+
1.2452651262283325,
|
| 414 |
+
0.859375,
|
| 415 |
+
0.859375
|
| 416 |
+
],
|
| 417 |
+
[
|
| 418 |
+
1.2450199127197266,
|
| 419 |
+
0.9101560115814209,
|
| 420 |
+
0.9101560115814209
|
| 421 |
+
],
|
| 422 |
+
[
|
| 423 |
+
1.2450979948043823,
|
| 424 |
+
0.8457030057907104,
|
| 425 |
+
0.8457030057907104
|
| 426 |
+
],
|
| 427 |
+
[
|
| 428 |
+
1.245888113975525,
|
| 429 |
+
0.703125,
|
| 430 |
+
0.703125
|
| 431 |
+
],
|
| 432 |
+
[
|
| 433 |
+
1.245192289352417,
|
| 434 |
+
0.8203120231628418,
|
| 435 |
+
0.8203120231628418
|
| 436 |
+
],
|
| 437 |
+
[
|
| 438 |
+
1.2457770109176636,
|
| 439 |
+
0.8984379768371582,
|
| 440 |
+
0.8984379768371582
|
| 441 |
+
],
|
| 442 |
+
[
|
| 443 |
+
1.2453874349594116,
|
| 444 |
+
0.78125,
|
| 445 |
+
0.78125
|
| 446 |
+
],
|
| 447 |
+
[
|
| 448 |
+
2.5,
|
| 449 |
+
0.78125,
|
| 450 |
+
0.78125
|
| 451 |
+
],
|
| 452 |
+
[
|
| 453 |
+
2.5,
|
| 454 |
+
0.78125,
|
| 455 |
+
0.78125
|
| 456 |
+
],
|
| 457 |
+
[
|
| 458 |
+
1.2447916269302368,
|
| 459 |
+
0.8203120231628418,
|
| 460 |
+
0.8203120231628418
|
| 461 |
+
],
|
| 462 |
+
[
|
| 463 |
+
2.5,
|
| 464 |
+
0.7324219942092896,
|
| 465 |
+
0.7324219942092896
|
| 466 |
+
],
|
| 467 |
+
[
|
| 468 |
+
2.5,
|
| 469 |
+
0.7695310115814209,
|
| 470 |
+
0.7695310115814209
|
| 471 |
+
],
|
| 472 |
+
[
|
| 473 |
+
1.2455673217773438,
|
| 474 |
+
0.859375,
|
| 475 |
+
0.859375
|
| 476 |
+
],
|
| 477 |
+
[
|
| 478 |
+
1.245039701461792,
|
| 479 |
+
0.859375,
|
| 480 |
+
0.859375
|
| 481 |
+
],
|
| 482 |
+
[
|
| 483 |
+
1.2444690465927124,
|
| 484 |
+
0.78125,
|
| 485 |
+
0.78125
|
| 486 |
+
],
|
| 487 |
+
[
|
| 488 |
+
1.0,
|
| 489 |
+
0.78515625,
|
| 490 |
+
0.78515625
|
| 491 |
+
],
|
| 492 |
+
[
|
| 493 |
+
1.0,
|
| 494 |
+
0.814453125,
|
| 495 |
+
0.814453125
|
| 496 |
+
],
|
| 497 |
+
[
|
| 498 |
+
1.25,
|
| 499 |
+
0.703125,
|
| 500 |
+
0.703125
|
| 501 |
+
],
|
| 502 |
+
[
|
| 503 |
+
2.5,
|
| 504 |
+
0.78125,
|
| 505 |
+
0.78125
|
| 506 |
+
],
|
| 507 |
+
[
|
| 508 |
+
1.245039701461792,
|
| 509 |
+
0.9375,
|
| 510 |
+
0.9375
|
| 511 |
+
],
|
| 512 |
+
[
|
| 513 |
+
1.244813323020935,
|
| 514 |
+
0.7578120231628418,
|
| 515 |
+
0.7578120231628418
|
| 516 |
+
],
|
| 517 |
+
[
|
| 518 |
+
1.2448346614837646,
|
| 519 |
+
0.8203120231628418,
|
| 520 |
+
0.8203120231628418
|
| 521 |
+
],
|
| 522 |
+
[
|
| 523 |
+
2.5,
|
| 524 |
+
0.78125,
|
| 525 |
+
0.78125
|
| 526 |
+
],
|
| 527 |
+
[
|
| 528 |
+
1.244813323020935,
|
| 529 |
+
0.859375,
|
| 530 |
+
0.859375
|
| 531 |
+
],
|
| 532 |
+
[
|
| 533 |
+
1.2442660331726074,
|
| 534 |
+
0.8203120231628418,
|
| 535 |
+
0.8203120231628418
|
| 536 |
+
],
|
| 537 |
+
[
|
| 538 |
+
1.2440757751464844,
|
| 539 |
+
0.859375,
|
| 540 |
+
0.859375
|
| 541 |
+
],
|
| 542 |
+
[
|
| 543 |
+
1.2448559999465942,
|
| 544 |
+
0.8203120231628418,
|
| 545 |
+
0.8203120231628418
|
| 546 |
+
],
|
| 547 |
+
[
|
| 548 |
+
1.2449597120285034,
|
| 549 |
+
0.703125,
|
| 550 |
+
0.703125
|
| 551 |
+
],
|
| 552 |
+
[
|
| 553 |
+
2.5,
|
| 554 |
+
0.7265620231628418,
|
| 555 |
+
0.7265620231628418
|
| 556 |
+
],
|
| 557 |
+
[
|
| 558 |
+
1.244813323020935,
|
| 559 |
+
0.8867189884185791,
|
| 560 |
+
0.8867189884185791
|
| 561 |
+
],
|
| 562 |
+
[
|
| 563 |
+
1.2448346614837646,
|
| 564 |
+
0.7871090173721313,
|
| 565 |
+
0.7871090173721313
|
| 566 |
+
],
|
| 567 |
+
[
|
| 568 |
+
1.2453007698059082,
|
| 569 |
+
0.7617189884185791,
|
| 570 |
+
0.7617189884185791
|
| 571 |
+
],
|
| 572 |
+
[
|
| 573 |
+
1.245674729347229,
|
| 574 |
+
0.703125,
|
| 575 |
+
0.703125
|
| 576 |
+
],
|
| 577 |
+
[
|
| 578 |
+
0.625,
|
| 579 |
+
0.7890620231628418,
|
| 580 |
+
0.7890620231628418
|
| 581 |
+
],
|
| 582 |
+
[
|
| 583 |
+
1.0,
|
| 584 |
+
0.625,
|
| 585 |
+
0.625
|
| 586 |
+
],
|
| 587 |
+
[
|
| 588 |
+
1.0,
|
| 589 |
+
0.798828125,
|
| 590 |
+
0.798828125
|
| 591 |
+
],
|
| 592 |
+
[
|
| 593 |
+
2.4782607555389404,
|
| 594 |
+
0.6035159826278687,
|
| 595 |
+
0.6035159826278687
|
| 596 |
+
],
|
| 597 |
+
[
|
| 598 |
+
1.2450199127197266,
|
| 599 |
+
0.9296879768371582,
|
| 600 |
+
0.9296879768371582
|
| 601 |
+
],
|
| 602 |
+
[
|
| 603 |
+
0.625,
|
| 604 |
+
0.6171879768371582,
|
| 605 |
+
0.6171879768371582
|
| 606 |
+
],
|
| 607 |
+
[
|
| 608 |
+
1.244979977607727,
|
| 609 |
+
0.8808590173721313,
|
| 610 |
+
0.8808590173721313
|
| 611 |
+
],
|
| 612 |
+
[
|
| 613 |
+
1.2451171875,
|
| 614 |
+
0.78125,
|
| 615 |
+
0.78125
|
| 616 |
+
],
|
| 617 |
+
[
|
| 618 |
+
1.244813323020935,
|
| 619 |
+
0.78125,
|
| 620 |
+
0.78125
|
| 621 |
+
],
|
| 622 |
+
[
|
| 623 |
+
1.2453182935714722,
|
| 624 |
+
0.78125,
|
| 625 |
+
0.78125
|
| 626 |
+
],
|
| 627 |
+
[
|
| 628 |
+
1.2448979616165161,
|
| 629 |
+
0.9492189884185791,
|
| 630 |
+
0.9492189884185791
|
| 631 |
+
],
|
| 632 |
+
[
|
| 633 |
+
1.2445175647735596,
|
| 634 |
+
0.78125,
|
| 635 |
+
0.78125
|
| 636 |
+
],
|
| 637 |
+
[
|
| 638 |
+
1.2445887327194214,
|
| 639 |
+
0.7714840173721313,
|
| 640 |
+
0.7714840173721313
|
| 641 |
+
],
|
| 642 |
+
[
|
| 643 |
+
1.2450199127197266,
|
| 644 |
+
0.7832030057907104,
|
| 645 |
+
0.7832030057907104
|
| 646 |
+
]
|
| 647 |
+
]
|
| 648 |
+
}
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/checkpoint_best.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c10b5ff57a7a5a989f803fbbd20f86c4d1a6bef1c09fd40e3e0d1319cc880925
|
| 3 |
+
size 246732223
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/checkpoint_final.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:52b47f72dae596578197bea945e0d86c6ae689fa9321ad00a542f7234929f0cf
|
| 3 |
+
size 246741405
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/debug.json
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_best_ema": "None",
|
| 3 |
+
"batch_size": "2",
|
| 4 |
+
"configuration_manager": "{'data_identifier': 'nnUNetPlans_3d_fullres', 'preprocessor_name': 'DefaultPreprocessor', 'batch_size': 2, 'patch_size': [80, 192, 160], 'median_image_size_in_voxels': [252.0, 512.0, 512.0], 'spacing': [1.244979977607727, 0.78515625, 0.78515625], 'normalization_schemes': ['CTNormalization'], 'use_mask_for_norm': [False], 'resampling_fn_data': 'resample_data_or_seg_to_shape', 'resampling_fn_seg': 'resample_data_or_seg_to_shape', 'resampling_fn_data_kwargs': {'is_seg': False, 'order': 3, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_seg_kwargs': {'is_seg': True, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_probabilities': 'resample_data_or_seg_to_shape', 'resampling_fn_probabilities_kwargs': {'is_seg': False, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'architecture': {'network_class_name': 'dynamic_network_architectures.architectures.unet.PlainConvUNet', 'arch_kwargs': {'n_stages': 6, 'features_per_stage': [32, 64, 128, 256, 320, 320], 'conv_op': 'torch.nn.modules.conv.Conv3d', 'kernel_sizes': [[3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3]], 'strides': [[1, 1, 1], [2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2], [1, 2, 2]], 'n_conv_per_stage': [2, 2, 2, 2, 2, 2], 'n_conv_per_stage_decoder': [2, 2, 2, 2, 2], 'conv_bias': True, 'norm_op': 'torch.nn.modules.instancenorm.InstanceNorm3d', 'norm_op_kwargs': {'eps': 1e-05, 'affine': True}, 'dropout_op': None, 'dropout_op_kwargs': None, 'nonlin': 'torch.nn.LeakyReLU', 'nonlin_kwargs': {'inplace': True}}, '_kw_requires_import': ['conv_op', 'norm_op', 'dropout_op', 'nonlin']}, 'batch_dice': True}",
|
| 5 |
+
"configuration_name": "3d_fullres",
|
| 6 |
+
"cudnn_version": 91002,
|
| 7 |
+
"current_epoch": "0",
|
| 8 |
+
"dataloader_train": "<batchgenerators.dataloading.nondet_multi_threaded_augmenter.NonDetMultiThreadedAugmenter object at 0x7f0d014a5870>",
|
| 9 |
+
"dataloader_train.generator": "<nnunetv2.training.dataloading.data_loader.nnUNetDataLoader object at 0x7f0d014a57e0>",
|
| 10 |
+
"dataloader_train.num_processes": "12",
|
| 11 |
+
"dataloader_train.transform": "None",
|
| 12 |
+
"dataloader_val": "<batchgenerators.dataloading.nondet_multi_threaded_augmenter.NonDetMultiThreadedAugmenter object at 0x7f0d014a5990>",
|
| 13 |
+
"dataloader_val.generator": "<nnunetv2.training.dataloading.data_loader.nnUNetDataLoader object at 0x7f0d014a58a0>",
|
| 14 |
+
"dataloader_val.num_processes": "6",
|
| 15 |
+
"dataloader_val.transform": "None",
|
| 16 |
+
"dataset_json": "{'channel_names': {'0': 'CT'}, 'labels': {'background': 0, 'lung_tumor': 1}, 'numTraining': 63, 'file_ending': '.nii.gz', 'licence': \"Whoever converted this dataset was lazy and didn't look it up!\", 'converted_by': 'Please enter your name, especially when sharing datasets with others in a common infrastructure!', 'overwrite_image_reader_writer': 'NibabelIOWithReorient', 'name': 'Dataset025_ivvae'}",
|
| 17 |
+
"device": "cuda:0",
|
| 18 |
+
"disable_checkpointing": "False",
|
| 19 |
+
"enable_deep_supervision": "True",
|
| 20 |
+
"fold": "0",
|
| 21 |
+
"folder_with_segs_from_previous_stage": "None",
|
| 22 |
+
"gpu_name": "NVIDIA RTX A6000",
|
| 23 |
+
"grad_scaler": "<torch.amp.grad_scaler.GradScaler object at 0x7f0d12055e40>",
|
| 24 |
+
"hostname": "msraep-gpu03",
|
| 25 |
+
"inference_allowed_mirroring_axes": "(0, 1, 2)",
|
| 26 |
+
"initial_lr": "0.01",
|
| 27 |
+
"is_cascaded": "False",
|
| 28 |
+
"is_ddp": "False",
|
| 29 |
+
"label_manager": "<nnunetv2.utilities.label_handling.label_handling.LabelManager object at 0x7f0d12055c30>",
|
| 30 |
+
"local_rank": "0",
|
| 31 |
+
"log_file": "/datasdc16T/qichen/cvpr26/nnUNet_results/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/training_log_2025_11_1_00_13_18.txt",
|
| 32 |
+
"logger": "<nnunetv2.training.logging.nnunet_logger.nnUNetLogger object at 0x7f0d12055b10>",
|
| 33 |
+
"loss": "DeepSupervisionWrapper(\n (loss): DC_and_CE_loss(\n (ce): RobustCrossEntropyLoss()\n (dc): OptimizedModule(\n (_orig_mod): MemoryEfficientSoftDiceLoss()\n )\n )\n)",
|
| 34 |
+
"lr_scheduler": "<nnunetv2.training.lr_scheduler.polylr.PolyLRScheduler object at 0x7f0d120c06d0>",
|
| 35 |
+
"my_init_kwargs": "{'plans': {'dataset_name': 'Dataset025_ivvae', 'plans_name': 'nnUNetPlans', 'original_median_spacing_after_transp': [1.244979977607727, 0.78515625, 0.78515625], 'original_median_shape_after_transp': [252, 512, 512], 'image_reader_writer': 'NibabelIOWithReorient', 'transpose_forward': [0, 1, 2], 'transpose_backward': [0, 1, 2], 'configurations': {'2d': {'data_identifier': 'nnUNetPlans_2d', 'preprocessor_name': 'DefaultPreprocessor', 'batch_size': 12, 'patch_size': [512, 512], 'median_image_size_in_voxels': [512.0, 512.0], 'spacing': [0.78515625, 0.78515625], 'normalization_schemes': ['CTNormalization'], 'use_mask_for_norm': [False], 'resampling_fn_data': 'resample_data_or_seg_to_shape', 'resampling_fn_seg': 'resample_data_or_seg_to_shape', 'resampling_fn_data_kwargs': {'is_seg': False, 'order': 3, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_seg_kwargs': {'is_seg': True, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_probabilities': 'resample_data_or_seg_to_shape', 'resampling_fn_probabilities_kwargs': {'is_seg': False, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'architecture': {'network_class_name': 'dynamic_network_architectures.architectures.unet.PlainConvUNet', 'arch_kwargs': {'n_stages': 8, 'features_per_stage': [32, 64, 128, 256, 512, 512, 512, 512], 'conv_op': 'torch.nn.modules.conv.Conv2d', 'kernel_sizes': [[3, 3], [3, 3], [3, 3], [3, 3], [3, 3], [3, 3], [3, 3], [3, 3]], 'strides': [[1, 1], [2, 2], [2, 2], [2, 2], [2, 2], [2, 2], [2, 2], [2, 2]], 'n_conv_per_stage': [2, 2, 2, 2, 2, 2, 2, 2], 'n_conv_per_stage_decoder': [2, 2, 2, 2, 2, 2, 2], 'conv_bias': True, 'norm_op': 'torch.nn.modules.instancenorm.InstanceNorm2d', 'norm_op_kwargs': {'eps': 1e-05, 'affine': True}, 'dropout_op': None, 'dropout_op_kwargs': None, 'nonlin': 'torch.nn.LeakyReLU', 'nonlin_kwargs': {'inplace': True}}, '_kw_requires_import': ['conv_op', 'norm_op', 'dropout_op', 'nonlin']}, 'batch_dice': True}, '3d_lowres': {'data_identifier': 'nnUNetPlans_3d_lowres', 'preprocessor_name': 'DefaultPreprocessor', 'batch_size': 2, 'patch_size': [80, 192, 160], 'median_image_size_in_voxels': [132, 267, 267], 'spacing': [2.3855103790575867, 1.5044405671133478, 1.5044405671133478], 'normalization_schemes': ['CTNormalization'], 'use_mask_for_norm': [False], 'resampling_fn_data': 'resample_data_or_seg_to_shape', 'resampling_fn_seg': 'resample_data_or_seg_to_shape', 'resampling_fn_data_kwargs': {'is_seg': False, 'order': 3, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_seg_kwargs': {'is_seg': True, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_probabilities': 'resample_data_or_seg_to_shape', 'resampling_fn_probabilities_kwargs': {'is_seg': False, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'architecture': {'network_class_name': 'dynamic_network_architectures.architectures.unet.PlainConvUNet', 'arch_kwargs': {'n_stages': 6, 'features_per_stage': [32, 64, 128, 256, 320, 320], 'conv_op': 'torch.nn.modules.conv.Conv3d', 'kernel_sizes': [[3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3]], 'strides': [[1, 1, 1], [2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2], [1, 2, 2]], 'n_conv_per_stage': [2, 2, 2, 2, 2, 2], 'n_conv_per_stage_decoder': [2, 2, 2, 2, 2], 'conv_bias': True, 'norm_op': 'torch.nn.modules.instancenorm.InstanceNorm3d', 'norm_op_kwargs': {'eps': 1e-05, 'affine': True}, 'dropout_op': None, 'dropout_op_kwargs': None, 'nonlin': 'torch.nn.LeakyReLU', 'nonlin_kwargs': {'inplace': True}}, '_kw_requires_import': ['conv_op', 'norm_op', 'dropout_op', 'nonlin']}, 'batch_dice': False, 'next_stage': '3d_cascade_fullres'}, '3d_fullres': {'data_identifier': 'nnUNetPlans_3d_fullres', 'preprocessor_name': 'DefaultPreprocessor', 'batch_size': 2, 'patch_size': [80, 192, 160], 'median_image_size_in_voxels': [252.0, 512.0, 512.0], 'spacing': [1.244979977607727, 0.78515625, 0.78515625], 'normalization_schemes': ['CTNormalization'], 'use_mask_for_norm': [False], 'resampling_fn_data': 'resample_data_or_seg_to_shape', 'resampling_fn_seg': 'resample_data_or_seg_to_shape', 'resampling_fn_data_kwargs': {'is_seg': False, 'order': 3, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_seg_kwargs': {'is_seg': True, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_probabilities': 'resample_data_or_seg_to_shape', 'resampling_fn_probabilities_kwargs': {'is_seg': False, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'architecture': {'network_class_name': 'dynamic_network_architectures.architectures.unet.PlainConvUNet', 'arch_kwargs': {'n_stages': 6, 'features_per_stage': [32, 64, 128, 256, 320, 320], 'conv_op': 'torch.nn.modules.conv.Conv3d', 'kernel_sizes': [[3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3]], 'strides': [[1, 1, 1], [2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2], [1, 2, 2]], 'n_conv_per_stage': [2, 2, 2, 2, 2, 2], 'n_conv_per_stage_decoder': [2, 2, 2, 2, 2], 'conv_bias': True, 'norm_op': 'torch.nn.modules.instancenorm.InstanceNorm3d', 'norm_op_kwargs': {'eps': 1e-05, 'affine': True}, 'dropout_op': None, 'dropout_op_kwargs': None, 'nonlin': 'torch.nn.LeakyReLU', 'nonlin_kwargs': {'inplace': True}}, '_kw_requires_import': ['conv_op', 'norm_op', 'dropout_op', 'nonlin']}, 'batch_dice': True}, '3d_cascade_fullres': {'inherits_from': '3d_fullres', 'previous_stage': '3d_lowres'}}, 'experiment_planner_used': 'ExperimentPlanner', 'label_manager': 'LabelManager', 'foreground_intensity_properties_per_channel': {'0': {'max': 1000.0, 'mean': -288.4901428222656, 'median': -184.0, 'min': -1000.0, 'percentile_00_5': -948.0, 'percentile_99_5': 216.0, 'std': 337.8271484375}}}, 'configuration': '3d_fullres', 'fold': 0, 'dataset_json': {'channel_names': {'0': 'CT'}, 'labels': {'background': 0, 'lung_tumor': 1}, 'numTraining': 63, 'file_ending': '.nii.gz', 'licence': \"Whoever converted this dataset was lazy and didn't look it up!\", 'converted_by': 'Please enter your name, especially when sharing datasets with others in a common infrastructure!', 'overwrite_image_reader_writer': 'NibabelIOWithReorient', 'name': 'Dataset025_ivvae'}, 'device': device(type='cuda')}",
|
| 36 |
+
"network": "OptimizedModule",
|
| 37 |
+
"num_epochs": "1000",
|
| 38 |
+
"num_input_channels": "1",
|
| 39 |
+
"num_iterations_per_epoch": "250",
|
| 40 |
+
"num_val_iterations_per_epoch": "50",
|
| 41 |
+
"optimizer": "SGD (\nParameter Group 0\n dampening: 0\n differentiable: False\n foreach: None\n fused: None\n initial_lr: 0.01\n lr: 0.01\n maximize: False\n momentum: 0.99\n nesterov: True\n weight_decay: 3e-05\n)",
|
| 42 |
+
"output_folder": "/datasdc16T/qichen/cvpr26/nnUNet_results/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0",
|
| 43 |
+
"output_folder_base": "/datasdc16T/qichen/cvpr26/nnUNet_results/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres",
|
| 44 |
+
"oversample_foreground_percent": "0.33",
|
| 45 |
+
"plans_manager": "{'dataset_name': 'Dataset025_ivvae', 'plans_name': 'nnUNetPlans', 'original_median_spacing_after_transp': [1.244979977607727, 0.78515625, 0.78515625], 'original_median_shape_after_transp': [252, 512, 512], 'image_reader_writer': 'NibabelIOWithReorient', 'transpose_forward': [0, 1, 2], 'transpose_backward': [0, 1, 2], 'configurations': {'2d': {'data_identifier': 'nnUNetPlans_2d', 'preprocessor_name': 'DefaultPreprocessor', 'batch_size': 12, 'patch_size': [512, 512], 'median_image_size_in_voxels': [512.0, 512.0], 'spacing': [0.78515625, 0.78515625], 'normalization_schemes': ['CTNormalization'], 'use_mask_for_norm': [False], 'resampling_fn_data': 'resample_data_or_seg_to_shape', 'resampling_fn_seg': 'resample_data_or_seg_to_shape', 'resampling_fn_data_kwargs': {'is_seg': False, 'order': 3, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_seg_kwargs': {'is_seg': True, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_probabilities': 'resample_data_or_seg_to_shape', 'resampling_fn_probabilities_kwargs': {'is_seg': False, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'architecture': {'network_class_name': 'dynamic_network_architectures.architectures.unet.PlainConvUNet', 'arch_kwargs': {'n_stages': 8, 'features_per_stage': [32, 64, 128, 256, 512, 512, 512, 512], 'conv_op': 'torch.nn.modules.conv.Conv2d', 'kernel_sizes': [[3, 3], [3, 3], [3, 3], [3, 3], [3, 3], [3, 3], [3, 3], [3, 3]], 'strides': [[1, 1], [2, 2], [2, 2], [2, 2], [2, 2], [2, 2], [2, 2], [2, 2]], 'n_conv_per_stage': [2, 2, 2, 2, 2, 2, 2, 2], 'n_conv_per_stage_decoder': [2, 2, 2, 2, 2, 2, 2], 'conv_bias': True, 'norm_op': 'torch.nn.modules.instancenorm.InstanceNorm2d', 'norm_op_kwargs': {'eps': 1e-05, 'affine': True}, 'dropout_op': None, 'dropout_op_kwargs': None, 'nonlin': 'torch.nn.LeakyReLU', 'nonlin_kwargs': {'inplace': True}}, '_kw_requires_import': ['conv_op', 'norm_op', 'dropout_op', 'nonlin']}, 'batch_dice': True}, '3d_lowres': {'data_identifier': 'nnUNetPlans_3d_lowres', 'preprocessor_name': 'DefaultPreprocessor', 'batch_size': 2, 'patch_size': [80, 192, 160], 'median_image_size_in_voxels': [132, 267, 267], 'spacing': [2.3855103790575867, 1.5044405671133478, 1.5044405671133478], 'normalization_schemes': ['CTNormalization'], 'use_mask_for_norm': [False], 'resampling_fn_data': 'resample_data_or_seg_to_shape', 'resampling_fn_seg': 'resample_data_or_seg_to_shape', 'resampling_fn_data_kwargs': {'is_seg': False, 'order': 3, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_seg_kwargs': {'is_seg': True, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_probabilities': 'resample_data_or_seg_to_shape', 'resampling_fn_probabilities_kwargs': {'is_seg': False, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'architecture': {'network_class_name': 'dynamic_network_architectures.architectures.unet.PlainConvUNet', 'arch_kwargs': {'n_stages': 6, 'features_per_stage': [32, 64, 128, 256, 320, 320], 'conv_op': 'torch.nn.modules.conv.Conv3d', 'kernel_sizes': [[3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3]], 'strides': [[1, 1, 1], [2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2], [1, 2, 2]], 'n_conv_per_stage': [2, 2, 2, 2, 2, 2], 'n_conv_per_stage_decoder': [2, 2, 2, 2, 2], 'conv_bias': True, 'norm_op': 'torch.nn.modules.instancenorm.InstanceNorm3d', 'norm_op_kwargs': {'eps': 1e-05, 'affine': True}, 'dropout_op': None, 'dropout_op_kwargs': None, 'nonlin': 'torch.nn.LeakyReLU', 'nonlin_kwargs': {'inplace': True}}, '_kw_requires_import': ['conv_op', 'norm_op', 'dropout_op', 'nonlin']}, 'batch_dice': False, 'next_stage': '3d_cascade_fullres'}, '3d_fullres': {'data_identifier': 'nnUNetPlans_3d_fullres', 'preprocessor_name': 'DefaultPreprocessor', 'batch_size': 2, 'patch_size': [80, 192, 160], 'median_image_size_in_voxels': [252.0, 512.0, 512.0], 'spacing': [1.244979977607727, 0.78515625, 0.78515625], 'normalization_schemes': ['CTNormalization'], 'use_mask_for_norm': [False], 'resampling_fn_data': 'resample_data_or_seg_to_shape', 'resampling_fn_seg': 'resample_data_or_seg_to_shape', 'resampling_fn_data_kwargs': {'is_seg': False, 'order': 3, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_seg_kwargs': {'is_seg': True, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_probabilities': 'resample_data_or_seg_to_shape', 'resampling_fn_probabilities_kwargs': {'is_seg': False, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'architecture': {'network_class_name': 'dynamic_network_architectures.architectures.unet.PlainConvUNet', 'arch_kwargs': {'n_stages': 6, 'features_per_stage': [32, 64, 128, 256, 320, 320], 'conv_op': 'torch.nn.modules.conv.Conv3d', 'kernel_sizes': [[3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3]], 'strides': [[1, 1, 1], [2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2], [1, 2, 2]], 'n_conv_per_stage': [2, 2, 2, 2, 2, 2], 'n_conv_per_stage_decoder': [2, 2, 2, 2, 2], 'conv_bias': True, 'norm_op': 'torch.nn.modules.instancenorm.InstanceNorm3d', 'norm_op_kwargs': {'eps': 1e-05, 'affine': True}, 'dropout_op': None, 'dropout_op_kwargs': None, 'nonlin': 'torch.nn.LeakyReLU', 'nonlin_kwargs': {'inplace': True}}, '_kw_requires_import': ['conv_op', 'norm_op', 'dropout_op', 'nonlin']}, 'batch_dice': True}, '3d_cascade_fullres': {'inherits_from': '3d_fullres', 'previous_stage': '3d_lowres'}}, 'experiment_planner_used': 'ExperimentPlanner', 'label_manager': 'LabelManager', 'foreground_intensity_properties_per_channel': {'0': {'max': 1000.0, 'mean': -288.4901428222656, 'median': -184.0, 'min': -1000.0, 'percentile_00_5': -948.0, 'percentile_99_5': 216.0, 'std': 337.8271484375}}}",
|
| 46 |
+
"preprocessed_dataset_folder": "/datasdc16T/qichen/cvpr26/nnUNet_preprocessed/Dataset025_ivvae/nnUNetPlans_3d_fullres",
|
| 47 |
+
"preprocessed_dataset_folder_base": "/datasdc16T/qichen/cvpr26/nnUNet_preprocessed/Dataset025_ivvae",
|
| 48 |
+
"probabilistic_oversampling": "False",
|
| 49 |
+
"save_every": "50",
|
| 50 |
+
"torch_version": "2.8.0+cu128",
|
| 51 |
+
"was_initialized": "True",
|
| 52 |
+
"weight_decay": "3e-05"
|
| 53 |
+
}
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/progress.png
ADDED
|
Git LFS Details
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/training_log_2025_11_1_00_13_18.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_006.nii.gz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a38df56db7bfeed3ef122f85dbd4e53d19ac5dedec6a2177dbfbba455e60fa57
|
| 3 |
+
size 652641
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_010.nii.gz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a494382b68f53062a97d0624a32c7447515b505202d19aa346ad9a3f311a53dd
|
| 3 |
+
size 283821
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_033.nii.gz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6a6c46a694e7e8245d60235e4dfad56adad390881e801ffb2e6db04ea6c12e0a
|
| 3 |
+
size 300917
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_034.nii.gz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d6e98cc53c56b5a95fa15a8b48727a839fbde1b51f47775b22370a143fb962f9
|
| 3 |
+
size 342623
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_041.nii.gz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9a2535fdb52e0b40a8b3870298987cc73a6ba67b33acc2e769176b7139e633e2
|
| 3 |
+
size 287377
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_042.nii.gz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:82904878fa1d4095b6d5d67162b706c81f8468a46045e086a285c2cd52e19a99
|
| 3 |
+
size 144641
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_046.nii.gz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aa6ef021a55610ce5fca4160e1eb4ed78fbd5746c20dfd871b6257d1b34e2f56
|
| 3 |
+
size 262432
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_048.nii.gz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d81b927519e72793910ea98c924e69ca960e994c365ed8af34667be4adf6b986
|
| 3 |
+
size 370012
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_059.nii.gz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:65a76327a6e50694a5a87543b17adaf8ad42636c82e598fe17b0408bd315749f
|
| 3 |
+
size 251608
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_065.nii.gz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a6d63d190c9a630f61308fde34a9631c0d182fd24518b97251769b71cdc79413
|
| 3 |
+
size 153816
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_066.nii.gz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:21d6c7d8c980e88c7527df590de85155cef651220253365e21d93486b962e9b2
|
| 3 |
+
size 279460
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_070.nii.gz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b7847198518b30a7e03ddf21f71826c33ae94cae065d1fc8ea1f64e557fde69d
|
| 3 |
+
size 307000
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_079.nii.gz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fa91007b0b87a8efc01a94204d08ec6b733b22c8648370c00c0f2f16bd975312
|
| 3 |
+
size 288009
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/summary.json
ADDED
|
@@ -0,0 +1,234 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"foreground_mean": {
|
| 3 |
+
"Dice": 0.7024980384288899,
|
| 4 |
+
"FN": 4604.153846153846,
|
| 5 |
+
"FP": 3267.923076923077,
|
| 6 |
+
"IoU": 0.5741042326063588,
|
| 7 |
+
"TN": 68156463.46153846,
|
| 8 |
+
"TP": 13269.384615384615,
|
| 9 |
+
"n_pred": 16537.30769230769,
|
| 10 |
+
"n_ref": 17873.53846153846
|
| 11 |
+
},
|
| 12 |
+
"mean": {
|
| 13 |
+
"1": {
|
| 14 |
+
"Dice": 0.7024980384288899,
|
| 15 |
+
"FN": 4604.153846153846,
|
| 16 |
+
"FP": 3267.923076923077,
|
| 17 |
+
"IoU": 0.5741042326063588,
|
| 18 |
+
"TN": 68156463.46153846,
|
| 19 |
+
"TP": 13269.384615384615,
|
| 20 |
+
"n_pred": 16537.30769230769,
|
| 21 |
+
"n_ref": 17873.53846153846
|
| 22 |
+
}
|
| 23 |
+
},
|
| 24 |
+
"metric_per_case": [
|
| 25 |
+
{
|
| 26 |
+
"metrics": {
|
| 27 |
+
"1": {
|
| 28 |
+
"Dice": 0.8660649581658871,
|
| 29 |
+
"FN": 477,
|
| 30 |
+
"FP": 1556,
|
| 31 |
+
"IoU": 0.7637694631652335,
|
| 32 |
+
"TN": 148627042,
|
| 33 |
+
"TP": 6573,
|
| 34 |
+
"n_pred": 8129,
|
| 35 |
+
"n_ref": 7050
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"prediction_file": "/datasdc16T/qichen/cvpr26/nnUNet_results/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_006.nii.gz",
|
| 39 |
+
"reference_file": "/datasdc16T/qichen/cvpr26/nnUNet_preprocessed/Dataset025_ivvae/gt_segmentations/lung_006.nii.gz"
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"metrics": {
|
| 43 |
+
"1": {
|
| 44 |
+
"Dice": 0.8516109961572569,
|
| 45 |
+
"FN": 1382,
|
| 46 |
+
"FP": 7654,
|
| 47 |
+
"IoU": 0.7415701415701416,
|
| 48 |
+
"TN": 63141739,
|
| 49 |
+
"TP": 25929,
|
| 50 |
+
"n_pred": 33583,
|
| 51 |
+
"n_ref": 27311
|
| 52 |
+
}
|
| 53 |
+
},
|
| 54 |
+
"prediction_file": "/datasdc16T/qichen/cvpr26/nnUNet_results/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_010.nii.gz",
|
| 55 |
+
"reference_file": "/datasdc16T/qichen/cvpr26/nnUNet_preprocessed/Dataset025_ivvae/gt_segmentations/lung_010.nii.gz"
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"metrics": {
|
| 59 |
+
"1": {
|
| 60 |
+
"Dice": 0.36409100225456037,
|
| 61 |
+
"FN": 30221,
|
| 62 |
+
"FP": 805,
|
| 63 |
+
"IoU": 0.22256189235241056,
|
| 64 |
+
"TN": 68117532,
|
| 65 |
+
"TP": 8882,
|
| 66 |
+
"n_pred": 9687,
|
| 67 |
+
"n_ref": 39103
|
| 68 |
+
}
|
| 69 |
+
},
|
| 70 |
+
"prediction_file": "/datasdc16T/qichen/cvpr26/nnUNet_results/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_033.nii.gz",
|
| 71 |
+
"reference_file": "/datasdc16T/qichen/cvpr26/nnUNet_preprocessed/Dataset025_ivvae/gt_segmentations/lung_033.nii.gz"
|
| 72 |
+
},
|
| 73 |
+
{
|
| 74 |
+
"metrics": {
|
| 75 |
+
"1": {
|
| 76 |
+
"Dice": 0.8895087668453847,
|
| 77 |
+
"FN": 1838,
|
| 78 |
+
"FP": 1212,
|
| 79 |
+
"IoU": 0.8010047628368239,
|
| 80 |
+
"TN": 77579297,
|
| 81 |
+
"TP": 12277,
|
| 82 |
+
"n_pred": 13489,
|
| 83 |
+
"n_ref": 14115
|
| 84 |
+
}
|
| 85 |
+
},
|
| 86 |
+
"prediction_file": "/datasdc16T/qichen/cvpr26/nnUNet_results/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_034.nii.gz",
|
| 87 |
+
"reference_file": "/datasdc16T/qichen/cvpr26/nnUNet_preprocessed/Dataset025_ivvae/gt_segmentations/lung_034.nii.gz"
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"metrics": {
|
| 91 |
+
"1": {
|
| 92 |
+
"Dice": 0.8563388962957504,
|
| 93 |
+
"FN": 11725,
|
| 94 |
+
"FP": 9718,
|
| 95 |
+
"IoU": 0.7487698003561721,
|
| 96 |
+
"TN": 62829208,
|
| 97 |
+
"TP": 63909,
|
| 98 |
+
"n_pred": 73627,
|
| 99 |
+
"n_ref": 75634
|
| 100 |
+
}
|
| 101 |
+
},
|
| 102 |
+
"prediction_file": "/datasdc16T/qichen/cvpr26/nnUNet_results/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_041.nii.gz",
|
| 103 |
+
"reference_file": "/datasdc16T/qichen/cvpr26/nnUNet_preprocessed/Dataset025_ivvae/gt_segmentations/lung_041.nii.gz"
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"metrics": {
|
| 107 |
+
"1": {
|
| 108 |
+
"Dice": 0.3184713375796178,
|
| 109 |
+
"FN": 3164,
|
| 110 |
+
"FP": 2507,
|
| 111 |
+
"IoU": 0.1893939393939394,
|
| 112 |
+
"TN": 32761004,
|
| 113 |
+
"TP": 1325,
|
| 114 |
+
"n_pred": 3832,
|
| 115 |
+
"n_ref": 4489
|
| 116 |
+
}
|
| 117 |
+
},
|
| 118 |
+
"prediction_file": "/datasdc16T/qichen/cvpr26/nnUNet_results/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_042.nii.gz",
|
| 119 |
+
"reference_file": "/datasdc16T/qichen/cvpr26/nnUNet_preprocessed/Dataset025_ivvae/gt_segmentations/lung_042.nii.gz"
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"metrics": {
|
| 123 |
+
"1": {
|
| 124 |
+
"Dice": 0.8958490566037736,
|
| 125 |
+
"FN": 1411,
|
| 126 |
+
"FP": 1349,
|
| 127 |
+
"IoU": 0.8113465481886535,
|
| 128 |
+
"TN": 59229914,
|
| 129 |
+
"TP": 11870,
|
| 130 |
+
"n_pred": 13219,
|
| 131 |
+
"n_ref": 13281
|
| 132 |
+
}
|
| 133 |
+
},
|
| 134 |
+
"prediction_file": "/datasdc16T/qichen/cvpr26/nnUNet_results/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_046.nii.gz",
|
| 135 |
+
"reference_file": "/datasdc16T/qichen/cvpr26/nnUNet_preprocessed/Dataset025_ivvae/gt_segmentations/lung_046.nii.gz"
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"metrics": {
|
| 139 |
+
"1": {
|
| 140 |
+
"Dice": 0.8495709237758707,
|
| 141 |
+
"FN": 638,
|
| 142 |
+
"FP": 554,
|
| 143 |
+
"IoU": 0.7384817902588855,
|
| 144 |
+
"TN": 84405810,
|
| 145 |
+
"TP": 3366,
|
| 146 |
+
"n_pred": 3920,
|
| 147 |
+
"n_ref": 4004
|
| 148 |
+
}
|
| 149 |
+
},
|
| 150 |
+
"prediction_file": "/datasdc16T/qichen/cvpr26/nnUNet_results/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_048.nii.gz",
|
| 151 |
+
"reference_file": "/datasdc16T/qichen/cvpr26/nnUNet_preprocessed/Dataset025_ivvae/gt_segmentations/lung_048.nii.gz"
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"metrics": {
|
| 155 |
+
"1": {
|
| 156 |
+
"Dice": 0.5087985436893204,
|
| 157 |
+
"FN": 188,
|
| 158 |
+
"FP": 3050,
|
| 159 |
+
"IoU": 0.3412004069175992,
|
| 160 |
+
"TN": 57142477,
|
| 161 |
+
"TP": 1677,
|
| 162 |
+
"n_pred": 4727,
|
| 163 |
+
"n_ref": 1865
|
| 164 |
+
}
|
| 165 |
+
},
|
| 166 |
+
"prediction_file": "/datasdc16T/qichen/cvpr26/nnUNet_results/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_059.nii.gz",
|
| 167 |
+
"reference_file": "/datasdc16T/qichen/cvpr26/nnUNet_preprocessed/Dataset025_ivvae/gt_segmentations/lung_059.nii.gz"
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"metrics": {
|
| 171 |
+
"1": {
|
| 172 |
+
"Dice": 0.8010862394329462,
|
| 173 |
+
"FN": 5299,
|
| 174 |
+
"FP": 7666,
|
| 175 |
+
"IoU": 0.6681766994266994,
|
| 176 |
+
"TN": 33515360,
|
| 177 |
+
"TP": 26107,
|
| 178 |
+
"n_pred": 33773,
|
| 179 |
+
"n_ref": 31406
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"prediction_file": "/datasdc16T/qichen/cvpr26/nnUNet_results/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_065.nii.gz",
|
| 183 |
+
"reference_file": "/datasdc16T/qichen/cvpr26/nnUNet_preprocessed/Dataset025_ivvae/gt_segmentations/lung_065.nii.gz"
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"metrics": {
|
| 187 |
+
"1": {
|
| 188 |
+
"Dice": 0.746341194013365,
|
| 189 |
+
"FN": 1288,
|
| 190 |
+
"FP": 3305,
|
| 191 |
+
"IoU": 0.5953303964757709,
|
| 192 |
+
"TN": 63165354,
|
| 193 |
+
"TP": 6757,
|
| 194 |
+
"n_pred": 10062,
|
| 195 |
+
"n_ref": 8045
|
| 196 |
+
}
|
| 197 |
+
},
|
| 198 |
+
"prediction_file": "/datasdc16T/qichen/cvpr26/nnUNet_results/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_066.nii.gz",
|
| 199 |
+
"reference_file": "/datasdc16T/qichen/cvpr26/nnUNet_preprocessed/Dataset025_ivvae/gt_segmentations/lung_066.nii.gz"
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"metrics": {
|
| 203 |
+
"1": {
|
| 204 |
+
"Dice": 0.5844170790654851,
|
| 205 |
+
"FN": 541,
|
| 206 |
+
"FP": 3070,
|
| 207 |
+
"IoU": 0.41284552845528455,
|
| 208 |
+
"TN": 69724154,
|
| 209 |
+
"TP": 2539,
|
| 210 |
+
"n_pred": 5609,
|
| 211 |
+
"n_ref": 3080
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"prediction_file": "/datasdc16T/qichen/cvpr26/nnUNet_results/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_070.nii.gz",
|
| 215 |
+
"reference_file": "/datasdc16T/qichen/cvpr26/nnUNet_preprocessed/Dataset025_ivvae/gt_segmentations/lung_070.nii.gz"
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"metrics": {
|
| 219 |
+
"1": {
|
| 220 |
+
"Dice": 0.6003255056963497,
|
| 221 |
+
"FN": 1682,
|
| 222 |
+
"FP": 37,
|
| 223 |
+
"IoU": 0.42890365448504986,
|
| 224 |
+
"TN": 65795134,
|
| 225 |
+
"TP": 1291,
|
| 226 |
+
"n_pred": 1328,
|
| 227 |
+
"n_ref": 2973
|
| 228 |
+
}
|
| 229 |
+
},
|
| 230 |
+
"prediction_file": "/datasdc16T/qichen/cvpr26/nnUNet_results/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/fold_0/validation/lung_079.nii.gz",
|
| 231 |
+
"reference_file": "/datasdc16T/qichen/cvpr26/nnUNet_preprocessed/Dataset025_ivvae/gt_segmentations/lung_079.nii.gz"
|
| 232 |
+
}
|
| 233 |
+
]
|
| 234 |
+
}
|
Augmentation/Dataset025_ivvae/nnUNetTrainer__nnUNetPlans__3d_fullres/plans.json
ADDED
|
@@ -0,0 +1,532 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_name": "Dataset025_ivvae",
|
| 3 |
+
"plans_name": "nnUNetPlans",
|
| 4 |
+
"original_median_spacing_after_transp": [
|
| 5 |
+
1.244979977607727,
|
| 6 |
+
0.78515625,
|
| 7 |
+
0.78515625
|
| 8 |
+
],
|
| 9 |
+
"original_median_shape_after_transp": [
|
| 10 |
+
252,
|
| 11 |
+
512,
|
| 12 |
+
512
|
| 13 |
+
],
|
| 14 |
+
"image_reader_writer": "NibabelIOWithReorient",
|
| 15 |
+
"transpose_forward": [
|
| 16 |
+
0,
|
| 17 |
+
1,
|
| 18 |
+
2
|
| 19 |
+
],
|
| 20 |
+
"transpose_backward": [
|
| 21 |
+
0,
|
| 22 |
+
1,
|
| 23 |
+
2
|
| 24 |
+
],
|
| 25 |
+
"configurations": {
|
| 26 |
+
"2d": {
|
| 27 |
+
"data_identifier": "nnUNetPlans_2d",
|
| 28 |
+
"preprocessor_name": "DefaultPreprocessor",
|
| 29 |
+
"batch_size": 12,
|
| 30 |
+
"patch_size": [
|
| 31 |
+
512,
|
| 32 |
+
512
|
| 33 |
+
],
|
| 34 |
+
"median_image_size_in_voxels": [
|
| 35 |
+
512.0,
|
| 36 |
+
512.0
|
| 37 |
+
],
|
| 38 |
+
"spacing": [
|
| 39 |
+
0.78515625,
|
| 40 |
+
0.78515625
|
| 41 |
+
],
|
| 42 |
+
"normalization_schemes": [
|
| 43 |
+
"CTNormalization"
|
| 44 |
+
],
|
| 45 |
+
"use_mask_for_norm": [
|
| 46 |
+
false
|
| 47 |
+
],
|
| 48 |
+
"resampling_fn_data": "resample_data_or_seg_to_shape",
|
| 49 |
+
"resampling_fn_seg": "resample_data_or_seg_to_shape",
|
| 50 |
+
"resampling_fn_data_kwargs": {
|
| 51 |
+
"is_seg": false,
|
| 52 |
+
"order": 3,
|
| 53 |
+
"order_z": 0,
|
| 54 |
+
"force_separate_z": null
|
| 55 |
+
},
|
| 56 |
+
"resampling_fn_seg_kwargs": {
|
| 57 |
+
"is_seg": true,
|
| 58 |
+
"order": 1,
|
| 59 |
+
"order_z": 0,
|
| 60 |
+
"force_separate_z": null
|
| 61 |
+
},
|
| 62 |
+
"resampling_fn_probabilities": "resample_data_or_seg_to_shape",
|
| 63 |
+
"resampling_fn_probabilities_kwargs": {
|
| 64 |
+
"is_seg": false,
|
| 65 |
+
"order": 1,
|
| 66 |
+
"order_z": 0,
|
| 67 |
+
"force_separate_z": null
|
| 68 |
+
},
|
| 69 |
+
"architecture": {
|
| 70 |
+
"network_class_name": "dynamic_network_architectures.architectures.unet.PlainConvUNet",
|
| 71 |
+
"arch_kwargs": {
|
| 72 |
+
"n_stages": 8,
|
| 73 |
+
"features_per_stage": [
|
| 74 |
+
32,
|
| 75 |
+
64,
|
| 76 |
+
128,
|
| 77 |
+
256,
|
| 78 |
+
512,
|
| 79 |
+
512,
|
| 80 |
+
512,
|
| 81 |
+
512
|
| 82 |
+
],
|
| 83 |
+
"conv_op": "torch.nn.modules.conv.Conv2d",
|
| 84 |
+
"kernel_sizes": [
|
| 85 |
+
[
|
| 86 |
+
3,
|
| 87 |
+
3
|
| 88 |
+
],
|
| 89 |
+
[
|
| 90 |
+
3,
|
| 91 |
+
3
|
| 92 |
+
],
|
| 93 |
+
[
|
| 94 |
+
3,
|
| 95 |
+
3
|
| 96 |
+
],
|
| 97 |
+
[
|
| 98 |
+
3,
|
| 99 |
+
3
|
| 100 |
+
],
|
| 101 |
+
[
|
| 102 |
+
3,
|
| 103 |
+
3
|
| 104 |
+
],
|
| 105 |
+
[
|
| 106 |
+
3,
|
| 107 |
+
3
|
| 108 |
+
],
|
| 109 |
+
[
|
| 110 |
+
3,
|
| 111 |
+
3
|
| 112 |
+
],
|
| 113 |
+
[
|
| 114 |
+
3,
|
| 115 |
+
3
|
| 116 |
+
]
|
| 117 |
+
],
|
| 118 |
+
"strides": [
|
| 119 |
+
[
|
| 120 |
+
1,
|
| 121 |
+
1
|
| 122 |
+
],
|
| 123 |
+
[
|
| 124 |
+
2,
|
| 125 |
+
2
|
| 126 |
+
],
|
| 127 |
+
[
|
| 128 |
+
2,
|
| 129 |
+
2
|
| 130 |
+
],
|
| 131 |
+
[
|
| 132 |
+
2,
|
| 133 |
+
2
|
| 134 |
+
],
|
| 135 |
+
[
|
| 136 |
+
2,
|
| 137 |
+
2
|
| 138 |
+
],
|
| 139 |
+
[
|
| 140 |
+
2,
|
| 141 |
+
2
|
| 142 |
+
],
|
| 143 |
+
[
|
| 144 |
+
2,
|
| 145 |
+
2
|
| 146 |
+
],
|
| 147 |
+
[
|
| 148 |
+
2,
|
| 149 |
+
2
|
| 150 |
+
]
|
| 151 |
+
],
|
| 152 |
+
"n_conv_per_stage": [
|
| 153 |
+
2,
|
| 154 |
+
2,
|
| 155 |
+
2,
|
| 156 |
+
2,
|
| 157 |
+
2,
|
| 158 |
+
2,
|
| 159 |
+
2,
|
| 160 |
+
2
|
| 161 |
+
],
|
| 162 |
+
"n_conv_per_stage_decoder": [
|
| 163 |
+
2,
|
| 164 |
+
2,
|
| 165 |
+
2,
|
| 166 |
+
2,
|
| 167 |
+
2,
|
| 168 |
+
2,
|
| 169 |
+
2
|
| 170 |
+
],
|
| 171 |
+
"conv_bias": true,
|
| 172 |
+
"norm_op": "torch.nn.modules.instancenorm.InstanceNorm2d",
|
| 173 |
+
"norm_op_kwargs": {
|
| 174 |
+
"eps": 1e-05,
|
| 175 |
+
"affine": true
|
| 176 |
+
},
|
| 177 |
+
"dropout_op": null,
|
| 178 |
+
"dropout_op_kwargs": null,
|
| 179 |
+
"nonlin": "torch.nn.LeakyReLU",
|
| 180 |
+
"nonlin_kwargs": {
|
| 181 |
+
"inplace": true
|
| 182 |
+
}
|
| 183 |
+
},
|
| 184 |
+
"_kw_requires_import": [
|
| 185 |
+
"conv_op",
|
| 186 |
+
"norm_op",
|
| 187 |
+
"dropout_op",
|
| 188 |
+
"nonlin"
|
| 189 |
+
]
|
| 190 |
+
},
|
| 191 |
+
"batch_dice": true
|
| 192 |
+
},
|
| 193 |
+
"3d_lowres": {
|
| 194 |
+
"data_identifier": "nnUNetPlans_3d_lowres",
|
| 195 |
+
"preprocessor_name": "DefaultPreprocessor",
|
| 196 |
+
"batch_size": 2,
|
| 197 |
+
"patch_size": [
|
| 198 |
+
80,
|
| 199 |
+
192,
|
| 200 |
+
160
|
| 201 |
+
],
|
| 202 |
+
"median_image_size_in_voxels": [
|
| 203 |
+
132,
|
| 204 |
+
267,
|
| 205 |
+
267
|
| 206 |
+
],
|
| 207 |
+
"spacing": [
|
| 208 |
+
2.3855103790575867,
|
| 209 |
+
1.5044405671133478,
|
| 210 |
+
1.5044405671133478
|
| 211 |
+
],
|
| 212 |
+
"normalization_schemes": [
|
| 213 |
+
"CTNormalization"
|
| 214 |
+
],
|
| 215 |
+
"use_mask_for_norm": [
|
| 216 |
+
false
|
| 217 |
+
],
|
| 218 |
+
"resampling_fn_data": "resample_data_or_seg_to_shape",
|
| 219 |
+
"resampling_fn_seg": "resample_data_or_seg_to_shape",
|
| 220 |
+
"resampling_fn_data_kwargs": {
|
| 221 |
+
"is_seg": false,
|
| 222 |
+
"order": 3,
|
| 223 |
+
"order_z": 0,
|
| 224 |
+
"force_separate_z": null
|
| 225 |
+
},
|
| 226 |
+
"resampling_fn_seg_kwargs": {
|
| 227 |
+
"is_seg": true,
|
| 228 |
+
"order": 1,
|
| 229 |
+
"order_z": 0,
|
| 230 |
+
"force_separate_z": null
|
| 231 |
+
},
|
| 232 |
+
"resampling_fn_probabilities": "resample_data_or_seg_to_shape",
|
| 233 |
+
"resampling_fn_probabilities_kwargs": {
|
| 234 |
+
"is_seg": false,
|
| 235 |
+
"order": 1,
|
| 236 |
+
"order_z": 0,
|
| 237 |
+
"force_separate_z": null
|
| 238 |
+
},
|
| 239 |
+
"architecture": {
|
| 240 |
+
"network_class_name": "dynamic_network_architectures.architectures.unet.PlainConvUNet",
|
| 241 |
+
"arch_kwargs": {
|
| 242 |
+
"n_stages": 6,
|
| 243 |
+
"features_per_stage": [
|
| 244 |
+
32,
|
| 245 |
+
64,
|
| 246 |
+
128,
|
| 247 |
+
256,
|
| 248 |
+
320,
|
| 249 |
+
320
|
| 250 |
+
],
|
| 251 |
+
"conv_op": "torch.nn.modules.conv.Conv3d",
|
| 252 |
+
"kernel_sizes": [
|
| 253 |
+
[
|
| 254 |
+
3,
|
| 255 |
+
3,
|
| 256 |
+
3
|
| 257 |
+
],
|
| 258 |
+
[
|
| 259 |
+
3,
|
| 260 |
+
3,
|
| 261 |
+
3
|
| 262 |
+
],
|
| 263 |
+
[
|
| 264 |
+
3,
|
| 265 |
+
3,
|
| 266 |
+
3
|
| 267 |
+
],
|
| 268 |
+
[
|
| 269 |
+
3,
|
| 270 |
+
3,
|
| 271 |
+
3
|
| 272 |
+
],
|
| 273 |
+
[
|
| 274 |
+
3,
|
| 275 |
+
3,
|
| 276 |
+
3
|
| 277 |
+
],
|
| 278 |
+
[
|
| 279 |
+
3,
|
| 280 |
+
3,
|
| 281 |
+
3
|
| 282 |
+
]
|
| 283 |
+
],
|
| 284 |
+
"strides": [
|
| 285 |
+
[
|
| 286 |
+
1,
|
| 287 |
+
1,
|
| 288 |
+
1
|
| 289 |
+
],
|
| 290 |
+
[
|
| 291 |
+
2,
|
| 292 |
+
2,
|
| 293 |
+
2
|
| 294 |
+
],
|
| 295 |
+
[
|
| 296 |
+
2,
|
| 297 |
+
2,
|
| 298 |
+
2
|
| 299 |
+
],
|
| 300 |
+
[
|
| 301 |
+
2,
|
| 302 |
+
2,
|
| 303 |
+
2
|
| 304 |
+
],
|
| 305 |
+
[
|
| 306 |
+
2,
|
| 307 |
+
2,
|
| 308 |
+
2
|
| 309 |
+
],
|
| 310 |
+
[
|
| 311 |
+
1,
|
| 312 |
+
2,
|
| 313 |
+
2
|
| 314 |
+
]
|
| 315 |
+
],
|
| 316 |
+
"n_conv_per_stage": [
|
| 317 |
+
2,
|
| 318 |
+
2,
|
| 319 |
+
2,
|
| 320 |
+
2,
|
| 321 |
+
2,
|
| 322 |
+
2
|
| 323 |
+
],
|
| 324 |
+
"n_conv_per_stage_decoder": [
|
| 325 |
+
2,
|
| 326 |
+
2,
|
| 327 |
+
2,
|
| 328 |
+
2,
|
| 329 |
+
2
|
| 330 |
+
],
|
| 331 |
+
"conv_bias": true,
|
| 332 |
+
"norm_op": "torch.nn.modules.instancenorm.InstanceNorm3d",
|
| 333 |
+
"norm_op_kwargs": {
|
| 334 |
+
"eps": 1e-05,
|
| 335 |
+
"affine": true
|
| 336 |
+
},
|
| 337 |
+
"dropout_op": null,
|
| 338 |
+
"dropout_op_kwargs": null,
|
| 339 |
+
"nonlin": "torch.nn.LeakyReLU",
|
| 340 |
+
"nonlin_kwargs": {
|
| 341 |
+
"inplace": true
|
| 342 |
+
}
|
| 343 |
+
},
|
| 344 |
+
"_kw_requires_import": [
|
| 345 |
+
"conv_op",
|
| 346 |
+
"norm_op",
|
| 347 |
+
"dropout_op",
|
| 348 |
+
"nonlin"
|
| 349 |
+
]
|
| 350 |
+
},
|
| 351 |
+
"batch_dice": false,
|
| 352 |
+
"next_stage": "3d_cascade_fullres"
|
| 353 |
+
},
|
| 354 |
+
"3d_fullres": {
|
| 355 |
+
"data_identifier": "nnUNetPlans_3d_fullres",
|
| 356 |
+
"preprocessor_name": "DefaultPreprocessor",
|
| 357 |
+
"batch_size": 2,
|
| 358 |
+
"patch_size": [
|
| 359 |
+
80,
|
| 360 |
+
192,
|
| 361 |
+
160
|
| 362 |
+
],
|
| 363 |
+
"median_image_size_in_voxels": [
|
| 364 |
+
252.0,
|
| 365 |
+
512.0,
|
| 366 |
+
512.0
|
| 367 |
+
],
|
| 368 |
+
"spacing": [
|
| 369 |
+
1.244979977607727,
|
| 370 |
+
0.78515625,
|
| 371 |
+
0.78515625
|
| 372 |
+
],
|
| 373 |
+
"normalization_schemes": [
|
| 374 |
+
"CTNormalization"
|
| 375 |
+
],
|
| 376 |
+
"use_mask_for_norm": [
|
| 377 |
+
false
|
| 378 |
+
],
|
| 379 |
+
"resampling_fn_data": "resample_data_or_seg_to_shape",
|
| 380 |
+
"resampling_fn_seg": "resample_data_or_seg_to_shape",
|
| 381 |
+
"resampling_fn_data_kwargs": {
|
| 382 |
+
"is_seg": false,
|
| 383 |
+
"order": 3,
|
| 384 |
+
"order_z": 0,
|
| 385 |
+
"force_separate_z": null
|
| 386 |
+
},
|
| 387 |
+
"resampling_fn_seg_kwargs": {
|
| 388 |
+
"is_seg": true,
|
| 389 |
+
"order": 1,
|
| 390 |
+
"order_z": 0,
|
| 391 |
+
"force_separate_z": null
|
| 392 |
+
},
|
| 393 |
+
"resampling_fn_probabilities": "resample_data_or_seg_to_shape",
|
| 394 |
+
"resampling_fn_probabilities_kwargs": {
|
| 395 |
+
"is_seg": false,
|
| 396 |
+
"order": 1,
|
| 397 |
+
"order_z": 0,
|
| 398 |
+
"force_separate_z": null
|
| 399 |
+
},
|
| 400 |
+
"architecture": {
|
| 401 |
+
"network_class_name": "dynamic_network_architectures.architectures.unet.PlainConvUNet",
|
| 402 |
+
"arch_kwargs": {
|
| 403 |
+
"n_stages": 6,
|
| 404 |
+
"features_per_stage": [
|
| 405 |
+
32,
|
| 406 |
+
64,
|
| 407 |
+
128,
|
| 408 |
+
256,
|
| 409 |
+
320,
|
| 410 |
+
320
|
| 411 |
+
],
|
| 412 |
+
"conv_op": "torch.nn.modules.conv.Conv3d",
|
| 413 |
+
"kernel_sizes": [
|
| 414 |
+
[
|
| 415 |
+
3,
|
| 416 |
+
3,
|
| 417 |
+
3
|
| 418 |
+
],
|
| 419 |
+
[
|
| 420 |
+
3,
|
| 421 |
+
3,
|
| 422 |
+
3
|
| 423 |
+
],
|
| 424 |
+
[
|
| 425 |
+
3,
|
| 426 |
+
3,
|
| 427 |
+
3
|
| 428 |
+
],
|
| 429 |
+
[
|
| 430 |
+
3,
|
| 431 |
+
3,
|
| 432 |
+
3
|
| 433 |
+
],
|
| 434 |
+
[
|
| 435 |
+
3,
|
| 436 |
+
3,
|
| 437 |
+
3
|
| 438 |
+
],
|
| 439 |
+
[
|
| 440 |
+
3,
|
| 441 |
+
3,
|
| 442 |
+
3
|
| 443 |
+
]
|
| 444 |
+
],
|
| 445 |
+
"strides": [
|
| 446 |
+
[
|
| 447 |
+
1,
|
| 448 |
+
1,
|
| 449 |
+
1
|
| 450 |
+
],
|
| 451 |
+
[
|
| 452 |
+
2,
|
| 453 |
+
2,
|
| 454 |
+
2
|
| 455 |
+
],
|
| 456 |
+
[
|
| 457 |
+
2,
|
| 458 |
+
2,
|
| 459 |
+
2
|
| 460 |
+
],
|
| 461 |
+
[
|
| 462 |
+
2,
|
| 463 |
+
2,
|
| 464 |
+
2
|
| 465 |
+
],
|
| 466 |
+
[
|
| 467 |
+
2,
|
| 468 |
+
2,
|
| 469 |
+
2
|
| 470 |
+
],
|
| 471 |
+
[
|
| 472 |
+
1,
|
| 473 |
+
2,
|
| 474 |
+
2
|
| 475 |
+
]
|
| 476 |
+
],
|
| 477 |
+
"n_conv_per_stage": [
|
| 478 |
+
2,
|
| 479 |
+
2,
|
| 480 |
+
2,
|
| 481 |
+
2,
|
| 482 |
+
2,
|
| 483 |
+
2
|
| 484 |
+
],
|
| 485 |
+
"n_conv_per_stage_decoder": [
|
| 486 |
+
2,
|
| 487 |
+
2,
|
| 488 |
+
2,
|
| 489 |
+
2,
|
| 490 |
+
2
|
| 491 |
+
],
|
| 492 |
+
"conv_bias": true,
|
| 493 |
+
"norm_op": "torch.nn.modules.instancenorm.InstanceNorm3d",
|
| 494 |
+
"norm_op_kwargs": {
|
| 495 |
+
"eps": 1e-05,
|
| 496 |
+
"affine": true
|
| 497 |
+
},
|
| 498 |
+
"dropout_op": null,
|
| 499 |
+
"dropout_op_kwargs": null,
|
| 500 |
+
"nonlin": "torch.nn.LeakyReLU",
|
| 501 |
+
"nonlin_kwargs": {
|
| 502 |
+
"inplace": true
|
| 503 |
+
}
|
| 504 |
+
},
|
| 505 |
+
"_kw_requires_import": [
|
| 506 |
+
"conv_op",
|
| 507 |
+
"norm_op",
|
| 508 |
+
"dropout_op",
|
| 509 |
+
"nonlin"
|
| 510 |
+
]
|
| 511 |
+
},
|
| 512 |
+
"batch_dice": true
|
| 513 |
+
},
|
| 514 |
+
"3d_cascade_fullres": {
|
| 515 |
+
"inherits_from": "3d_fullres",
|
| 516 |
+
"previous_stage": "3d_lowres"
|
| 517 |
+
}
|
| 518 |
+
},
|
| 519 |
+
"experiment_planner_used": "ExperimentPlanner",
|
| 520 |
+
"label_manager": "LabelManager",
|
| 521 |
+
"foreground_intensity_properties_per_channel": {
|
| 522 |
+
"0": {
|
| 523 |
+
"max": 1000.0,
|
| 524 |
+
"mean": -288.4901428222656,
|
| 525 |
+
"median": -184.0,
|
| 526 |
+
"min": -1000.0,
|
| 527 |
+
"percentile_00_5": -948.0,
|
| 528 |
+
"percentile_99_5": 216.0,
|
| 529 |
+
"std": 337.8271484375
|
| 530 |
+
}
|
| 531 |
+
}
|
| 532 |
+
}
|