Active-Contour-Loss
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Implementation of active contour loss function
Active Contour Loss
Implementation of active contour loss function for medical image segmentation based on "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al.
Introduction
==The arXiv version of this paper will be available soon. ==
Requirements
Tensorflow >= 1.5
Keras >= 2.0
Numpy
Training
A pretrained model might be suggested to use, because somtimes active contour loss function may not be stable in the early steps for training.
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}
}
Other Re-implementation
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