SCUT-MLCLab / LSSED

LSSED: A robust segmentation network for inflamed appendix from CT images, ICASSP 2023
https://ieeexplore.ieee.org/document/10096171
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appendix medical-imaging

LSSED: A robust segmentation network for inflamed appendix from CT images, ICASSP 2023

by Wing W. Y. Ng, Peixin Zheng, Ting Wang, Jianjun Zhang, Yinhao Liang, Hui Zhou, Dan Liang, Guangming Li, Xinhua Wei.

Introduction

This respository is for our ICASSP 2023 Paper: 'A robust segmentation network for inflamed appendix from CT images'.

Environment:

This code tested under python3. Check code environment "requirements.txt"

Usage

  1. Train stage python train.py

    Citation

    @INPROCEEDINGS{10096171, 
    author={Ng, Wing W Y. and Zheng, Peixin and Wang, Ting and Zhang, Jianjun and Liang, Yinhao and Zhou, Hui and Liang, Dan and Li, Guangming and Wei, Xinhua}, 
    booktitle={ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, 
    title={LSSED: A Robust Segmentation Network for Inflamed Appendix from CT Images}, 
    year={2023}, 
    volume={}, 
    number={}, 
    pages={1-5}, 
    doi={10.1109/ICASSP49357.2023.10096171}
    }

    Questions

    Please concat with 'cspeixin.zheng@mail.scut.edu.cn'