WMHSegmenterK2MICCAI2017.json

{
  "name": "WMH (White Matter Hyperintensity) Segmenter - MICCAI 2017 - K2",
  "number_of_inputs": 2,
  "task": "Segmentation.",
  "organ": "Brain",
  "modality": "MRI",
  "train_test_data_details": "The model was trained on WMH segmentation grand challenge at MICCAI 2017 pelvic MRI scans by team K2. The model is combination of different Unet-like models tri.",
  "briefdescription": "Whole-gland prostate segmentation in pelvic Axial T2-W MRI scans.",
  "detaileddescription": "",
  "website": "",
  "citation": "",
  "version": "1",
  "docker": {
    "dockerhub_repository": "deepinfer/wmh-segmenter-k2",
    "digest": "sha256:f8a64b7fbadfb398be749dae0ecee1c486c12380d2c2fadd53dbdac0426b16d1",
    "size": "6.27 GB"
  },
  "model_name": "wmh_segmenter",
  "data_path": "/data",
  "members": [
    {
      "name": "InputT1Volume",
      "type": "volume",
      "iotype": "input",
      "voltype": "ScalarVolume",
      "detaileddescriptionSet": "Axial T1-W Brain MRI.\n",
      "default": "std::vector<unsigned int>(3, 64)",
      "itk_type": "typename FilterType::SizeType"
    },
    {
      "name": "InputFLAIRVolume",
      "type": "volume",
      "iotype": "input",
      "voltype": "ScalarVolume",
      "detaileddescriptionSet": "Axial FLAIR Brain 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": "verbose",
      "type": "bool",
      "default": "true",
      "iotype": "parameter"
    }
  ]
}