"Simultaneous denoising and super-resolution of optical coherence tomography images based on generative adversarial network" (SDSR-OCT)

the description of files in this repository:

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

If you use this code, please cite our work: Yongqiang Huang, Zexin Lu, Zhimin Shao, Maosong Ran, Jiliu Zhou, Leyuan Fang, and Yi Zhang, "Simultaneous denoising and super-resolution of optical coherence tomography images based on generative adversarial network," Opt. Express 27, 12289-12307 (2019)

Any questions about this code, please contact the author: yqhuang2912@gmail.com