GSAL：Geometric Structure Adversarial Learning for Robust Medical Image Segmentation

This is the official pytorch implementation of the GSAL model:

Authors: Kun Wang, Xiaohong Zhang, Yuting Lu, Wei Zhang, Sheng Huang, Dan Yang,

Preface

🔥NEWS🔥 :

• [2022/9/24]:fire: Release the other_models (with boundary) code!
• [2022/4/21]:fire: Release the inference code!
• [2022/1/20] Create repository.

Requirements

Python 3.7
Torch==1.1.0
Torchvision==0.4.0
scipy (1.5.4)
CUDA 10.0

Usage

Installation

• Clone this repo

git clone https://github.com/DLWK/GSAL.git
cd GSAL

Data Preparation

• Download dataset from following URL

Comparison with Other Segmentation Models using Boundary Information

Citation

• If you find this work is helpful, please cite our paper

@article{wang2023gsal,
  title={GSAL: Geometric Structure Adversarial Learning for Robust Medical Image Segmentation},
  author={Wang, Kun and Zhang, Xiaohong and Lu, Yuting and Zhang, Wei and Huang, Sheng and Yang, Dan},
  journal={Pattern Recognition},
  pages={109596},
  year={2023},
  publisher={Elsevier}
}