1st-in-MICCAI2019 Multi-sequence Cardiac MR Segmentation Challenge

##SK-Unet: An Improved U-net Model with Selective Kernel for the Segmentation of LGE Cardiac MR Images

Journal Link

Overview

Performance

Requirements

• torch >=1.3.0
• tqdm
• opencv-python
• numpy
• SimpleITK
• pandas
• scikit-image
• scipy

Usage

1. Data Preparation

• Download challenge data

Citation

If SK-Unet is useful for your research, please consider citing:

  title={SK-Unet: An Improved U-net Model with Selective Kernel for the Segmentation of LGE Cardiac MR Images},
  author={Wang, Xiyue and Yang, Sen and Fang, Yuqi and Wei, Yunpeng and Wang, Minghui and Zhang, Jing and Han, Xiao},
  journal={IEEE Sensors Journal},
  year={2021},
  publisher={IEEE}}

Acknowledgement

Thank Organizers:Xiahai Zhuang,Lei Li,Jiahang Xu,Yuncheng Zhou,Xinzhe Luo