ProstateSegmenter.json

{
  "name": "Prostate Gland Segmenter",
  "number_of_inputs": 1,
  "task": "Segmentation.",
  "organ": "Prostate",
  "modality": "MRI",
  "train_test_data_details": "The model is trained on pelvic MRI scans of a 3T machine without use of an Endorectal Coil.",
  "briefdescription": "Whole-gland prostate segmentation in pelvic Axial T2-W MRI scans.",
  "detaileddescription": "",
  "website": "",
  "citation": "",
  "version": "0.1",
  "docker": {
    "dockerhub_repository": "deepinfer/prostate",
    "digest": "sha256:4b2b97f0c7ce6021a67dd3bb864e5116bc55a8c73cbb35daaa78c5e0638bf27d",
    "size": "6.77 GB"
  },
  "model_name": "prostate-segmenter",
  "data_path": "/data",
  "members": [
    {
      "name": "Domain",
      "type": "enum",
      "enum": [
        "BWH_WITH_ERC",
        "BWH_WITHOUT_ERC",
        "PROMISE12"
      ],
      "detaileddescriptionSet": "Select the model that will be used for inference.\n",
      "iotype": "parameter"
    },
    {
      "name": "ProcessingType",
      "type": "enum",
      "enum": [
        "Fast",
        "Accurate"
      ],
      "detaileddescriptionSet": "Accurate model uses more models to compute the segmentation while the fast model only uses one model.\n",
      "iotype": "parameter"
    },
    {
      "name": "InferenceType",
      "type": "enum",
      "enum": [
        "Single",
        "Ensemble"
      ],
      "detaileddescriptionSet": "Accurate model uses more models to compute the segmentation while the fast model only uses one model.\n",
      "iotype": "parameter"
    },
    {
      "name": "InputVolume",
      "type": "volume",
      "iotype": "input",
      "voltype": "ScalarVolume",
      "detaileddescriptionSet": "Axial T2-W Prostate MRI.\n",
      "default": "std::vector<unsigned int>(3, 64)",
      "itk_type": "typename FilterType::SizeType"
    },
    {
      "name": "OutputLabel",
      "type": "volume",
      "iotype": "output",
      "voltype": "LabelMap",
      "detaileddescriptionSet": "Output labelmap for the segmentation results.\n",
      "default": "std::vector<unsigned int>(3, 64)",
      "itk_type": "typename FilterType::SizeType"
    },
    {
      "name": "OutputSmoothing",
      "type": "bool",
      "default": "false",
      "iotype": "parameter"
    },
    {
      "name": "verbose",
      "type": "bool",
      "default": "false",
      "iotype": "parameter"
    }
  ]
}