PyTorch SDSR-OCT

----- A PyTorch implementation of "Simultaneous denoising and super-resolution of optical coherence tomography images based on generative adversarial network"

1. the description of files in this repository:

• "dataset.py" code for load training and testing data
• "main_2x.py main_4x.py main_8x.py" code for training and testing of the models
• "models.py" code for network architecture
• "vis_tools.py" code for visualizing
• "metrics.py" code for evaluating metrics and selecting ROIs

2. Citation

• If you use this code, please cite our work:

@article{huang2019simultaneous,
  title={Simultaneous denoising and super-resolution of optical coherence tomography images based on generative adversarial network},
  author={Huang, Yongqiang and Lu, Zexin and Shao, Zhimin and Ran, Maosong and Zhou, Jiliu and Fang, Leyuan and Zhang, Yi},
  journal={Optics express},
  volume={27},
  number={9},
  pages={12289--12307},
  year={2019},
  publisher={Optical Society of America}
}

3. Contact

• Any questions about this code, please contact the author: tsmotlp@163.com