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{
"schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
"version": "0.4.6",
"changelog": {
"0.4.6": "enhance metadata with improved descriptions",
"0.4.5": "update to huggingface hosting",
"0.4.4": "initial bundle assemblage."
},
"monai_version": "1.3.0",
"pytorch_version": "2.1.0",
"numpy_version": "1.22.2",
"optional_packages_version": {
"fire": "0.4.0",
"nibabel": "4.0.1",
"pytorch-ignite": "0.4.11"
},
"name": "Pediatric Abdominal CT Segmentation",
"task": "3D Segmentation of Liver, Spleen and Pancreas in Pediatric Abdominal CT",
"description": "A 3D segmentation model for liver, spleen, and pancreas in pediatric abdominal CT images. The model processes 96x96x96 pixel patches and provides segmentation masks. Pre-trained on TotalSegmentator, TCIA and BTCV datasets and fine-tuned on Cincinnati Children's Healthy Pediatric Dataset.",
"authors": "Cincinnati Children's (CCHMC) - CAIIR Center (https://www.cincinnatichildrens.org/research/divisions/r/radiology/labs/caiir)",
"copyright": "Copyright (c) MONAI Consortium",
"data_source": "TotalSegmentator, TCIA and BTCV dataset public data",
"data_type": "nifti",
"image_classes": "single channel 3D data HU thresholded and clipped to a range of 0 to 1",
"label_classes": "single channel data, 1 is liver, 2 is spleen, 3 is pancreas and 0 is everything else",
"pred_classes": "single channel data, 1 is liver, 2 is spleen, 3 is pancreas and 0 is everything else",
"eval_metrics": {
"TS_mean_dice": 0.9,
"TCIA_mean_dice": 0.87,
"CCHMC_mean_dice": 0.89
},
"intended_use": "Pediatric model - Validation on institutional data required before clinical use",
"references": [
"MedArxiv paper: url to be updated"
],
"network_data_format": {
"inputs": {
"image": {
"type": "image",
"format": "hounsfield",
"modality": "CT",
"num_channels": 1,
"spatial_shape": [
96,
96,
96
],
"dtype": "float32",
"value_range": [
0,
1
],
"is_patch_data": true,
"channel_def": {
"0": "image"
}
}
},
"outputs": {
"pred": {
"type": "image",
"format": "segmentation",
"num_channels": 4,
"spatial_shape": [
96,
96,
96
],
"dtype": "float32",
"value_range": [
0,
1,
2,
3
],
"is_patch_data": true,
"label_def": {
"0": "background",
"1": "liver",
"2": "spleen",
"3": "pancreas"
}
}
}
}
}
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