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VCLIPSeg: Voxel-Wise CLIP-Enhanced Model for Semi-supervised Medical Image Segmentation

by Lei Li, Sheng Lian, Zhiming Luo*, Beizhan Wang, Shaozi Li

Introduction

This repository is for our paper: 'VCLIPSeg: Voxel-Wise CLIP-Enhanced Model for Semi-supervised Medical Image Segmentation'.

Usage

  1. Clone the repo.;
git clone https://github.com/SmileJET/VCLIPSeg.git

  1. Put the data in './VCLIPSeg/data';

  2. Generate the Text embeddings in './VCLIPSeg/clip_embedding';

  3. Train & Test the model;

sh train.sh

Citation

If our VCLIPSeg model is useful for your research, please consider citing:

@inproceedings{li2024vclipseg,
  title={VCLIPSeg: Voxel-Wise CLIP-Enhanced Model for Semi-supervised Medical Image Segmentation},
  author={Li, Lei and Lian, Sheng and Luo, Zhiming and Wang, Beizhan and Li, Shaozi},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={692--701},
  year={2024},
  organization={Springer}
}

Acknowledgements

Our code is adapted from SSL4MIS, MCNet and CLIP-Driven-Universal-Model. Thanks for these authors for their valuable works and hope our model can promote the relevant research as well.