NeedleFinder-gpu.json

{
  "name": "NeedleFinder-gpu",
  "number_of_inputs": 1,
  "task": "Segmentation.",
  "organ": "Catheters",
  "modality": "MRI",
  "train_test_data_details": "The model is trained on 37 GYN MRI with catheters",
  "briefdescription": "Use with nvidia-docker. Segmentation of catheters from GYN MRI.",
  "detaileddescription": "",
  "version": "1.0",
  "docker":
    {
    "dockerhub_repository": "needlefinder/needlefinder-gpu",
    "digest": "sha256:f74c7e97493e40eb7e878a90dc41466247ebfe42881a59a2c760cbb4fe5b1249",
    "size": "2 GB"
    }
  ,
  "data_path": "/app/data",
  "members": [
    {
      "name": "InputVolume",
      "type": "volume",
      "iotype": "input",
      "voltype": "ScalarVolume",
      "default": "std::vector<unsigned int>(3, 64)",
      "itk_type": "typename FilterType::SizeType"
    },
    {
      "name": "OutputLabel",
      "type": "volume",
      "iotype": "output",
      "voltype": "LabelMap",
      "default": "std::vector<unsigned int>(3, 64)",
      "itk_type": "typename FilterType::SizeType"
    },
    {
      "name": "MinObjectSize",
      "type": "uint16_t",
      "iotype": "parameter",
      "default": 100
    },
    {
      "name": "MaxLineFitError",
      "type": "float",
      "iotype": "parameter",
      "default": 2.0
    }
]
}