Newer
Older
MedSegAgentWebApp / dataset / TotalSegmentator_v2.json
@Haoyu Wang Haoyu Wang on 4 Jun 2025 4 KB FEAT: update MedSegAgent V1 Core (#1)
{
    "name": "TotalSegmentator_v2",
    "description": "Tool for segmentation of over 117 classes in CT images. It was trained on a wide range of different CT images (different scanners, institutions, protocols,...) and therefore should work well on most images.",
    "input_modalities": {
        "0": "CT"
    },
    "labels": {
        "background": 0,
        "spleen": 1,
        "kidney_right": 2,
        "kidney_left": 3,
        "gallbladder": 4,
        "liver": 5,
        "stomach": 6,
        "pancreas": 7,
        "adrenal_gland_right": 8,
        "adrenal_gland_left": 9,
        "lung_upper_lobe_left": 10,
        "lung_lower_lobe_left": 11,
        "lung_upper_lobe_right": 12,
        "lung_middle_lobe_right": 13,
        "lung_lower_lobe_right": 14,
        "esophagus": 15,
        "trachea": 16,
        "thyroid_gland": 17,
        "small_bowel": 18,
        "duodenum": 19,
        "colon": 20,
        "urinary_bladder": 21,
        "prostate": 22,
        "kidney_cyst_left": 23,
        "kidney_cyst_right": 24,
        "sacrum": 25,
        "vertebrae_S1": 26,
        "vertebrae_L5": 27,
        "vertebrae_L4": 28,
        "vertebrae_L3": 29,
        "vertebrae_L2": 30,
        "vertebrae_L1": 31,
        "vertebrae_T12": 32,
        "vertebrae_T11": 33,
        "vertebrae_T10": 34,
        "vertebrae_T9": 35,
        "vertebrae_T8": 36,
        "vertebrae_T7": 37,
        "vertebrae_T6": 38,
        "vertebrae_T5": 39,
        "vertebrae_T4": 40,
        "vertebrae_T3": 41,
        "vertebrae_T2": 42,
        "vertebrae_T1": 43,
        "vertebrae_C7": 44,
        "vertebrae_C6": 45,
        "vertebrae_C5": 46,
        "vertebrae_C4": 47,
        "vertebrae_C3": 48,
        "vertebrae_C2": 49,
        "vertebrae_C1": 50,
        "heart": 51,
        "aorta": 52,
        "pulmonary_vein": 53,
        "brachiocephalic_trunk": 54,
        "subclavian_artery_right": 55,
        "subclavian_artery_left": 56,
        "common_carotid_artery_right": 57,
        "common_carotid_artery_left": 58,
        "brachiocephalic_vein_left": 59,
        "brachiocephalic_vein_right": 60,
        "atrial_appendage_left": 61,
        "superior_vena_cava": 62,
        "inferior_vena_cava": 63,
        "portal_vein_and_splenic_vein": 64,
        "iliac_artery_left": 65,
        "iliac_artery_right": 66,
        "iliac_vena_left": 67,
        "iliac_vena_right": 68,
        "humerus_left": 69,
        "humerus_right": 70,
        "scapula_left": 71,
        "scapula_right": 72,
        "clavicula_left": 73,
        "clavicula_right": 74,
        "femur_left": 75,
        "femur_right": 76,
        "hip_left": 77,
        "hip_right": 78,
        "spinal_cord": 79,
        "gluteus_maximus_left": 80,
        "gluteus_maximus_right": 81,
        "gluteus_medius_left": 82,
        "gluteus_medius_right": 83,
        "gluteus_minimus_left": 84,
        "gluteus_minimus_right": 85,
        "autochthon_left": 86,
        "autochthon_right": 87,
        "iliopsoas_left": 88,
        "iliopsoas_right": 89,
        "brain": 90,
        "skull": 91,
        "rib_right_4": 92,
        "rib_right_3": 93,
        "rib_left_1": 94,
        "rib_left_2": 95,
        "rib_left_3": 96,
        "rib_left_4": 97,
        "rib_left_5": 98,
        "rib_left_6": 99,
        "rib_left_7": 100,
        "rib_left_8": 101,
        "rib_left_9": 102,
        "rib_left_10": 103,
        "rib_left_11": 104,
        "rib_left_12": 105,
        "rib_right_1": 106,
        "rib_right_2": 107,
        "rib_right_5": 108,
        "rib_right_6": 109,
        "rib_right_7": 110,
        "rib_right_8": 111,
        "rib_right_9": 112,
        "rib_right_10": 113,
        "rib_right_11": 114,
        "rib_right_12": 115,
        "sternum": 116,
        "costal_cartilages": 117
    },
    "numTraining": 1139,
    "file_ending": ".nii.gz",
    "models": {
        "nnV1": [
            "nnUNet", 
            "STU-Net-S",
            "STU-Net-B",
            "STU-Net-L"
        ],
        "nnV2": [
            "nnUNet",
            "STU-Net-S",
            "STU-Net-B",
            "STU-Net-L"
        ],
        "monai": [
            "SwinUNETR",
            "UNETR"
        ]
    } 
}