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Update total_mr/app.json

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  1. total_mr/app.json +53 -1
total_mr/app.json CHANGED
@@ -3,5 +3,57 @@
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  "short_description": "<b>Description:</b><br>KonfAI-accelerated adaptation of <a href='https://github.com/wasserth/TotalSegmentator'>TotalSegmentator MRI</a>, delivering fast multimodal segmentation of <b>80 major anatomical structures</b> from <b>MRI and CT</b> scans, with significantly reduced inference overhead vs. the original nnU-Net workflow.<br><br><b>How to cite:</b><br><cite>T. Akinci D’Antonoli et al., <i>TotalSegmentator MRI: Robust Sequence-Independent Segmentation of Multiple Anatomic Structures in MRI</i>, Radiology, 2025.</cite>",
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  "description": "<b>Description:</b><br>This model integrates TotalSegmentator MRI into the <b>KonfAI</b> inference framework to accelerate deployment in MRI/CT multimodal workflows.<br><br><b>Capabilities:</b><br>• Automatic segmentation of <b>80 major anatomical structures</b> (organs, vessels, skeleton, digestive system)<br>• Robust to <b>sequence variations</b> across scanners, contrasts, acquisition planes, and sites<br>• High-resolution input: <b>1.5 mm isotropic</b><br><br><b>Training data:</b><br>Trained on a highly diverse clinical dataset of <b>1143 scans</b> including <b>616 MRI</b> (30 scanners, 4 sites, many contrast types) and <b>527 CT</b> scans, with expert-validated manual segmentations <br><br><b>How to cite:</b><br><cite>T. Akinci D’Antonoli et al., <i>TotalSegmentator MRI: Robust Sequence-Independent Segmentation of Multiple Anatomic Structures in MRI</i>, Radiology, 2025.</cite>",
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  "tta": 0,
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- "mc_dropout": 0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
 
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  "short_description": "<b>Description:</b><br>KonfAI-accelerated adaptation of <a href='https://github.com/wasserth/TotalSegmentator'>TotalSegmentator MRI</a>, delivering fast multimodal segmentation of <b>80 major anatomical structures</b> from <b>MRI and CT</b> scans, with significantly reduced inference overhead vs. the original nnU-Net workflow.<br><br><b>How to cite:</b><br><cite>T. Akinci D’Antonoli et al., <i>TotalSegmentator MRI: Robust Sequence-Independent Segmentation of Multiple Anatomic Structures in MRI</i>, Radiology, 2025.</cite>",
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  "description": "<b>Description:</b><br>This model integrates TotalSegmentator MRI into the <b>KonfAI</b> inference framework to accelerate deployment in MRI/CT multimodal workflows.<br><br><b>Capabilities:</b><br>• Automatic segmentation of <b>80 major anatomical structures</b> (organs, vessels, skeleton, digestive system)<br>• Robust to <b>sequence variations</b> across scanners, contrasts, acquisition planes, and sites<br>• High-resolution input: <b>1.5 mm isotropic</b><br><br><b>Training data:</b><br>Trained on a highly diverse clinical dataset of <b>1143 scans</b> including <b>616 MRI</b> (30 scanners, 4 sites, many contrast types) and <b>527 CT</b> scans, with expert-validated manual segmentations <br><br><b>How to cite:</b><br><cite>T. Akinci D’Antonoli et al., <i>TotalSegmentator MRI: Robust Sequence-Independent Segmentation of Multiple Anatomic Structures in MRI</i>, Radiology, 2025.</cite>",
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  "tta": 0,
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+ "mc_dropout": 0,
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+ "terminology": {
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+ "1": "spleen",
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+ "2": "kidney_right",
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+ "3": "kidney_left",
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+ "4": "gallbladder",
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+ "5": "liver",
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+ "6": "stomach",
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+ "7": "pancreas",
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+ "8": "adrenal_gland_right",
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+ "9": "adrenal_gland_left",
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+ "10": "lung_left",
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+ "11": "lung_right",
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+ "12": "esophagus",
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+ "13": "small_bowel",
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+ "14": "duodenum",
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+ "15": "colon",
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+ "16": "urinary_bladder",
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+ "17": "prostate",
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+ "18": "sacrum",
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+ "19": "vertebrae",
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+ "20": "intervertebral_discs",
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+ "21": "spinal_cord",
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+ "22": "heart",
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+ "23": "aorta",
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+ "24": "inferior_vena_cava",
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+ "25": "portal_vein_and_splenic_vein",
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+ "26": "iliac_artery_left",
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+ "27": "iliac_artery_right",
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+ "28": "iliac_vena_left",
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+ "29": "iliac_vena_right",
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+ "30": "humerus_left",
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+ "31": "humerus_right",
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+ "32": "scapula_left",
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+ "33": "scapula_right",
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+ "34": "clavicula_left",
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+ "35": "clavicula_right",
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+ "36": "femur_left",
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+ "37": "femur_right",
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+ "38": "hip_left",
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+ "39": "hip_right",
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+ "40": "gluteus_maximus_left",
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+ "41": "gluteus_maximus_right",
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+ "42": "gluteus_medius_left",
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+ "43": "gluteus_medius_right",
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+ "44": "gluteus_minimus_left",
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+ "45": "gluteus_minimus_right",
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+ "46": "autochthon_left",
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+ "47": "autochthon_right",
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+ "48": "iliopsoas_left",
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+ "49": "iliopsoas_right",
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+ "50": "brain",
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+ }
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  }