Domain Generalization for Medical Imaging Classification with Linear Dependency Regularization

The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization' NeurIPS 2020. The pre-print paper can be found in Arxiv.

How to use

First, you need to install the package surface-distance https://github.com/deepmind/surface-distance and SimpleITK

pip install SimpleITK

Then run the following command to train and evaluate the performance of the model

python3 train_lddg.py -t i

where i means set_i is the target domain.

Segmentation Reuslts

Please cite our paper if you find it's useful.

• @article{li2020domain, title={Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization}, author={Li, Haoliang and Wang, YuFei and Wan, Renjie and Wang, Shiqi and Li, Tie-Qiang and Kot, Alex C}, journal={arXiv preprint arXiv:2009.12829}, year={2020} }