mlchen666 / Segmentation-in-Medical-Image

Segmentation in Medical Image

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Segmentation in Medical Image


This project aims at providing deep learning models in medical image segmentation.

Dependencies

  • pytorch
  • torchvision
  • tensorboard_logger
  • SimpleITK (optional)

Usage

Prepare the dataset

  • Train
python train.py

Customize

  1. Prepare your own dataset and write the torch.nn.Dataset for specific data in folder data
  2. Design your network model in folder model
  3. Design the evaluation procedure in folder evaluate
  4. Write your own configuration file in folder config
  5. Modify the dataset_name to your dataset in train.py
  6. Finally, run python train.py

Experiment

  • ICH210
Dice Coeff (Std.) IoU (Std.) Sensitivity (Std.) Specificity (Std.)
U-Net 82.69 (2.17) % 70.55 (3.13) % 75.99 (3.05) % 90.76 (1.72) %
  • BraTS19

License

Only academic study

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About

Segmentation in Medical Image


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Language:Python 100.0%