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This is the official implementation of paper entitled "Coarse-to-fine Nasopharyngeal Carcinoma Segmentation in MRI via Multi-stage Rendering", accepted by BIBM 2020. Link: https://ieeexplore.ieee.org/document/9313574

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JasmineRain/RendUNet

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This is the official implementation of RendUNet accepted by BIBM 2020

If you are using this repo for your research, consider cite our paper!

PS: This repo also contains several comparison models, including:

  • UNet
  • Attention UNet
  • UNet++
  • BASNet
  • DANet
  • R2UNet
  • RefineNet

The paper is now available online at: https://ieeexplore.ieee.org/document/9313574

If you use this code for your research, consider cite our paper, and star this repo.

@INPROCEEDINGS{9313574,
  author={Y. {Li} and H. {Peng} and T. {Dan} and Y. {Hu} and G. {Tao} and H. {Cai}},
  booktitle={2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)}, 
  title={Coarse-to-fine Nasopharyngeal Carcinoma Segmentation in MRI via Multi-stage Rendering}, 
  year={2020},
  volume={},
  number={},
  pages={623-628},
  doi={10.1109/BIBM49941.2020.9313574}}

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This is the official implementation of paper entitled "Coarse-to-fine Nasopharyngeal Carcinoma Segmentation in MRI via Multi-stage Rendering", accepted by BIBM 2020. Link: https://ieeexplore.ieee.org/document/9313574

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