Continual-Reg

Welcome! This library provides the official implementation of our paper "Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning" accepted by MICCAI 2024 [arxiv].

Usage

1. Setup your dataset and its path in ./core/datasets/continual3d.py.
2. Install the training tool deep_kit.
3. Setup the model configuration by modifying the yaml files in ./cfgs.
4. Run the code in terminal by python train.py exp.name=trmersam. This would start the training using sharpness-aware meta-continual learning.
5. Test the trained model by running python test.py exp.name=temersam.

Contact

For any questions or problems please open an issue on GitHub.

Citation

@inproceedings{Continual-Reg,
  title={Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning},
  author={Wang, Bomin and Luo, Xinzhe and Zhuang, Xiahai},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year={2024},
  organization={Springer}
}