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SAML & A Multi-site Dataset for Prostate MRI Segmentation

by Quande Liu, Qi Dou, Pheng-Ann Heng.

Introduction

<p align="center"> <img src="figure/saml.png" width="650"/> </p> <p align="center"> <img src="figure/protocol.png" width="650"/> </p>

Setup & Usage for the Code

  1. Check dependencies:

    python==2.7.17
    numpy==1.16.6
    scipy==1.2.1
    tensorflow-gpu==1.12.0
    tensorboard==1.12.2
    SimpleITK==1.2.0
    
  2. To train the model, you need to specify the training configurations (can simply use the default setting) in main.py, then run:

    python main.py --phase=train
    
  3. To evaluate the model, run:

    python main.py --phase=test --restore_model='/path/to/test_model.cpkt'
    

    You will see the output results in the folder ./output/.

Citation

If this repository is useful for your research, please cite:

@article{liu2020shape,
  title={Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains},
  author={Liu, Quande and Dou, Qi and Heng, Pheng-Ann},
  journal={International Conference on Medical Image Computing and Computer Assisted Intervention},
  year={2020}
}

Questions

For further question about the code or dataset, please contact 'qdliu@cse.cuhk.edu.hk'