{ "display_name": "Segmentation: TotalSegmentator 3mm", "short_description": "Description:
Lightweight KonfAI adaptation of TotalSegmentator trained at 3 mm resolution, reducing GPU/RAM requirements while segmenting 118 anatomical structures in whole-body CT.

How to cite:
J. Wasserthal et al., TotalSegmentator: Robust Segmentation of 104 Anatomical Structures in CT Images, Radiology: AI, 2023.", "description": "Description:
KonfAI-optimized version of the original nnU-Net-based TotalSegmentator 3 mm model.

Capabilities:
• Whole-body CT segmentation of 118 structures (organs, bones, muscles, vessels)
• Reduced computational footprint for lower memory and faster throughput
3 mm isotropic inference for easier deployment on large datasets

Training data:
Trained on 1204 clinically-derived CT scans with strong diversity in contrast phases, scanner types and pathologies, with expert-reviewed manual annotations

How to cite:
J. Wasserthal et al., TotalSegmentator: Robust Segmentation of 104 Anatomical Structures in CT Images, Radiology: AI, 2023.", "tta": 0, "mc_dropout": 0, "terminology": { "1": "spleen", "2": "kidney_right", "3": "kidney_left", "4": "gallbladder", "5": "liver", "6": "stomach", "7": "pancreas", "8": "adrenal_gland_right", "9": "adrenal_gland_left", "10": "lung_upper_lobe_left", "11": "lung_lower_lobe_left", "12": "lung_upper_lobe_right", "13": "lung_middle_lobe_right", "14": "lung_lower_lobe_right", "15": "esophagus", "16": "trachea", "17": "thyroid_gland", "18": "small_bowel", "19": "duodenum", "20": "colon", "21": "urinary_bladder", "22": "prostate", "23": "kidney_cyst_left", "24": "kidney_cyst_right", "25": "sacrum", "26": "vertebrae_S1", "27": "vertebrae_L5", "28": "vertebrae_L4", "29": "vertebrae_L3", "30": "vertebrae_L2", "31": "vertebrae_L1", "32": "vertebrae_T12", "33": "vertebrae_T11", "34": "vertebrae_T10", "35": "vertebrae_T9", "36": "vertebrae_T8", "37": "vertebrae_T7", "38": "vertebrae_T6", "39": "vertebrae_T5", "40": "vertebrae_T4", "41": "vertebrae_T3", "42": "vertebrae_T2", "43": "vertebrae_T1", "44": "vertebrae_C7", "45": "vertebrae_C6", "46": "vertebrae_C5", "47": "vertebrae_C4", "48": "vertebrae_C3", "49": "vertebrae_C2", "50": "vertebrae_C1", "51": "heart", "52": "aorta", "53": "pulmonary_vein", "54": "brachiocephalic_trunk", "55": "subclavian_artery_right", "56": "subclavian_artery_left", "57": "common_carotid_artery_right", "58": "common_carotid_artery_left", "59": "brachiocephalic_vein_left", "60": "brachiocephalic_vein_right", "61": "atrial_appendage_left", "62": "superior_vena_cava", "63": "inferior_vena_cava", "64": "portal_vein_and_splenic_vein", "65": "iliac_artery_left", "66": "iliac_artery_right", "67": "iliac_vena_left", "68": "iliac_vena_right", "69": "humerus_left", "70": "humerus_right", "71": "scapula_left", "72": "scapula_right", "73": "clavicula_left", "74": "clavicula_right", "75": "femur_left", "76": "femur_right", "77": "hip_left", "78": "hip_right", "79": "spinal_cord", "80": "gluteus_maximus_left", "81": "gluteus_maximus_right", "82": "gluteus_medius_left", "83": "gluteus_medius_right", "84": "gluteus_minimus_left", "85": "gluteus_minimus_right", "86": "autochthon_left", "87": "autochthon_right", "88": "iliopsoas_left", "89": "iliopsoas_right", "90": "brain", "91": "skull", "92": "rib_left_1", "93": "rib_left_2", "94": "rib_left_3", "95": "rib_left_4", "96": "rib_left_5", "97": "rib_left_6", "98": "rib_left_7", "99": "rib_left_8", "100": "rib_left_9", "101": "rib_left_10", "102": "rib_left_11", "103": "rib_left_12", "104": "rib_right_1", "105": "rib_right_2", "106": "rib_right_3", "107": "rib_right_4", "108": "rib_right_5", "109": "rib_right_6", "110": "rib_right_7", "111": "rib_right_8", "112": "rib_right_9", "113": "rib_right_10", "114": "rib_right_11", "115": "rib_right_12", "116": "sternum", "117": "costal_cartilages" } }