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[TMI' 21] DSI-Net: Deep Synergistic Interaction Network for Joint Classification and Segmentation with Endoscope Images

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CityU-AIM-Group/DSI-Net

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DSI-Net

This repository is an official PyTorch implementation of the paper "DSI-Net: Deep Synergistic Interaction Network for Joint Classification and Segmentation with Endoscope Images", TMI 2021.

Dependencies

  • Python 3.6
  • PyTorch >= 1.3.0
  • numpy
  • apex
  • sklearn
  • matplotlib
  • PIL

Usage

  • Downloading processed dataset
  • Training DSI-Net
    python train_DSI_Net.py --gpus 0 --K 100 --alpha 0.05 --image_list 'data/WCE/WCE_Dataset_image_list.pkl'

Citation

@ARTICLE{9440441,
  author={Zhu, Meilu and Chen, Zhen and Yuan, Yixuan},
  journal={IEEE Transactions on Medical Imaging}, 
  title={DSI-Net: Deep Synergistic Interaction Network for Joint Classification and Segmentation with Endoscope Images}, 
  year={2021},
  doi={10.1109/TMI.2021.3083586}}

Contact

Meilu Zhu (meiluzhu2-c@my.cityu.edu.hk)

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[TMI' 21] DSI-Net: Deep Synergistic Interaction Network for Joint Classification and Segmentation with Endoscope Images

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