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Add weights for 16 3D cloud instance-segmentation models (8 architectures x 2 conditions)
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{
"architecture": "segresnet",
"implementation": "monai.networks.nets.SegResNet",
"spatial_dims": 3,
"in_channels": 1,
"out_channels": 3,
"model_kwargs": {
"init_filters": 16,
"dropout_prob": 0.1
},
"state_dict_note": "MONAI networks were wrapped, so keys carry a 'network.' prefix; strip it to load into the bare MONAI class.",
"output_channels": [
"foreground",
"seeds",
"boundary"
],
"output_activation": "logits (apply sigmoid)",
"condition": "real_only",
"condition_label": "Real only volumes",
"seed": 42,
"train_volumes": [
"real_253",
"real_255",
"real_257",
"real_259",
"real_261"
],
"validation_volume": "real_263",
"selected_step": 4000,
"selection": "best validation panoptic quality on real_263",
"best_val_pq": 0.6700788287147582,
"parameter_count": 4700931,
"input_normalization": {
"method": "x = clip((v - lo) / (hi - lo), 0, 1)",
"lo": 302.0,
"hi": 1921.0
},
"voxel_spacing_km": 0.5,
"patch_size_dhw": [
32,
160,
160
],
"sliding_window": {
"roi_size": [
32,
160,
160
],
"overlap": 0.5,
"mode": "gaussian",
"blend": "logits, then sigmoid"
},
"postprocessing": "foreground/seed thresholding + marker-controlled watershed",
"global_operating_point": {
"foreground_threshold": 0.4,
"seed_threshold": 0.7,
"boundary_threshold": 0.5,
"min_seed_size": 3,
"min_instance_size": 6,
"foreground_closing_iterations": 1,
"seed_opening_iterations": 0
},
"calibrated_operating_point": {
"foreground_threshold": 0.5,
"seed_threshold": 0.5,
"boundary_threshold": 0.5,
"min_seed_size": 5,
"min_instance_size": 12,
"foreground_closing_iterations": 1,
"seed_opening_iterations": 0
},
"source_checkpoint_sha256": "4ac39d2eff3582a389a65244d6d092f6f935f2ee886ba06c9f2219a89beccc8a"
}