Active_Contour_Euler_Elastica_Loss

Official implementations of Learning Euler's Elastica Model for Medical Image Segmentation

Requirements

Some important required packages include:

• Pytorch version >=0.4.1.
• Python == 3.6 Follow official guidance to install Pytorch.

Notes

More details will be released latter.

If you want to use these methods just as constrains (combine with dice loss or ce loss), you can use torch.mean() to replace torch.sum().

Citation

If you find Active-Contour-Loss is useful in your research, please consider to cite:

@inproceedings{chen2019learning,
  title={Learning Active Contour Models for Medical Image Segmentation},
  author={Chen, Xu and Williams, Bryan M and Vallabhaneni, Srinivasa R and Czanner, Gabriela and Williams, Rachel and Zheng, Yalin},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={11632--11640},
  year={2019}
}