EfficientSeg

This repo holds the pytorch implementation of our MyoPS 2020 Challenge solution - EfficientSeg (Honorable Mention of MyoPS 2020):

EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge (https://link.springer.com/content/pdf/10.1007%2F978-3-030-65651-5_2.pdf)

Model Training

sh train.sh

Evaluation

python evaluate.py

Post-processing

python post-processing.py

6. Citation

If this code is helpful for your study, please cite:

@inproceedings{zhang2020efficientseg,
  title={EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge},
  author={Zhang, Jianpeng and Xie, Yutong and Liao, Zhibin and Verjans, Johan and Xia, Yong},
  booktitle={Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge},
  pages={17--25},
  year={2020},
  organization={Springer}
}

Thanks to the Third Party Libs

EfficientDet

Contact

Jianpeng Zhang (james.zhang@mail.nwpu.edu.cn)