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[TMI'20] Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model

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Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model

by Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng.

Introduction

This repository is for our TMI 2020 paper 'Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model'.

Installation

This repository is based on PyTorch 1.4.0.

Usage

  1. Clone the repository:

    git clone https://github.com/liuquande/SRC-MT.git
    cd code
  2. Organize the dataset

  3. Train the model:

    python train_SRC_MT.py --gpu 0,1,2

Citation

If this repository is useful for your research, please cite:

@article{liu2020semi,
  title={Semi-supervised medical image classification with relation-driven self-ensembling model},
  author={Liu, Quande and Yu, Lequan and Luo, Luyang and Dou, Qi and Heng, Pheng Ann},
  journal={IEEE Transactions on Medical Imaging},
  year={2020},
  publisher={IEEE}
}

Questions

Please contact '[email protected]'

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