{
  "id": "duocphan/rsna-2-5d-cnn-training-pytorch-residu-lan-5",
  "id_no": 72061186,
  "title": "RSNA - 2.5D CNN [Training] - PyTorch residu lan 5",
  "code_file": "rsna-2-5d-cnn-training-pytorch-residu-lan-5.ipynb",
  "language": "python",
  "kernel_type": "notebook",
  "is_private": false,
  "enable_gpu": false,
  "enable_tpu": false,
  "enable_internet": false,
  "keywords": [],
  "dataset_sources": [
    "take124/2023-segmentator",
    "enriquezaf/atd-rsna-segmentator-poc",
    "nischaydnk/coatlitemedium-320-exp1",
    "nischaydnk/coatlitemedium-384-exp1",
    "nischaydnk/coatmed384fullseed696969",
    "nischaydnk/coatmed384fullseed969696",
    "nischaydnk/coatmed384ourdataseed6969",
    "harshitsheoran/coatsmall384extravast4funet",
    "iafoss/contrails-model-def1",
    "harshitsheoran/contrails-libraries",
    "zacstewart/dicomsdl--0-109-2",
    "gunesevitan/rsna-2023-abdominal-trauma-detection-dataset",
    "alenic/rsna-2023-atd-reduced-256-5mm",
    "harshitsheoran/rsna-abd-models",
    "harshitsheoran/rsna-abd-try11-v8-extrav",
    "harshitsheoran/rsna-abd-v2s-try5-v10-fulldata",
    "harshitsheoran/rsna-abd-models-2",
    "harshitsheoran/rsna-abd-models-classes",
    "nischaydnk/rsna-extravastmodel-exp1-crop",
    "nischaydnk/rsna-extravastmodel-exp1-uncrop"
  ],
  "kernel_sources": [],
  "competition_sources": [
    "rsna-2023-abdominal-trauma-detection"
  ],
  "model_sources": [],
  "docker_image": "gcr.io/kaggle-images/python@sha256:2b87137d46eb423469ea86ac4507cdab734e9d2637fd5ee7fc7f25480001aed6",
  "machine_shape": "None"
}