https://github.com/tsmotlp/sdsr-oct

code for our work: "Simultaneous denoising and super-resolution of optical coherence tomography images based on generative adversarial network"
https://github.com/tsmotlp/sdsr-oct

Last synced: 13 days ago
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code for our work: "Simultaneous denoising and super-resolution of optical coherence tomography images based on generative adversarial network"

• Host: GitHub
• URL: https://github.com/tsmotlp/sdsr-oct
• Owner: tsmotlp
• Created: 2019-04-21T08:40:01.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-11-01T07:53:59.000Z (about 1 year ago)
• Last Synced: 2024-05-18T03:45:03.667Z (6 months ago)
• Language: Python
• Homepage:
• Size: 23.4 KB
• Stars: 8
• Watchers: 1
• Forks: 1
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
# ["Simultaneous denoising and super-resolution of optical coherence tomography images based on generative adversarial network"](https://www.osapublishing.org/oe/abstract.cfm?uri=oe-27-9-12289) (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: [email protected]