$ pip install -r  requirements.txt

$ git clone https://github.com/NVIDIA/apex
$ cd apex
$ pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./

├── data/
│   ├── tissue-train-neg/     
│   ├── tissue-train-pos-v1/

$ cd code/
$ python preprocessing.py

$ cd code/
$ python train.py --config_file='config/cac-unet-r50.yaml'

@article{zhu2021multi,
  title={Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet},
  author={Zhu, Chuang and Mei, Ke and Peng, Ting and Luo, Yihao and Liu, Jun and Wang, Ying and Jin, Mulan},
  journal={Neurocomputing},
  volume={438},
  pages={165--183},
  year={2021},
  publisher={Elsevier}
}

@inproceedings{mei2020cross,
  title={Cross-stained segmentation from renal biopsy images using multi-level adversarial learning},
  author={Mei, Ke and Zhu, Chuang and Jiang, Lei and Liu, Jun and Qiao, Yuanyuan},
  booktitle={ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={1424--1428},
  year={2020},
  organization={IEEE}
}