{
  "id": "nadagamal3/liver-tumor-segmentation-using-resnet50",
  "id_no": 50984850,
  "title": "liver tumor segmentation using ResNet50",
  "code_file": "liver-tumor-segmentation-using-resnet50.ipynb",
  "language": "python",
  "kernel_type": "notebook",
  "is_private": false,
  "enable_gpu": false,
  "enable_tpu": false,
  "enable_internet": false,
  "keywords": [],
  "dataset_sources": [],
  "kernel_sources": [],
  "competition_sources": [
    "rsna-2023-abdominal-trauma-detection"
  ],
  "model_sources": [
    "keras/resnetv1/Keras/resnet50_imagenet/2"
  ],
  "docker_image": "gcr.io/kaggle-images/python@sha256:287c4e0e224e592dc6113940a6cf3d099b814c7bff0c1e8da57f8e6bad123ac5",
  "machine_shape": "None"
}