gokriznastic/SegAN

A PyTorch implementation of image segmentation GAN from the paper "SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation".

SegAN - Semantic Segmentation with Adversarial Learning

A PyTorch implementation of image segmentation GAN from the paper SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation by Yuan Xue, Tao Xu, Han Zhang, L. Rodney Long, Xiaolei Huang.

Data

The data used is from LiTS - Liver Tumor Segmentation Challenge dataset containing abdominal CT scans for liver and tumor segmentation.

Acknowledgement

The code used in this repository is heavily derived from YuanXue1993/SegAN