https://github.com/ashishpatel26/srgan-keras-for-medical-images

SRGAN Keras For Medical Images
https://github.com/ashishpatel26/srgan-keras-for-medical-images

gan medical-imaging medical-super-resolution srgan super-resolution

Last synced: 19 days ago
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SRGAN Keras For Medical Images

• Host: GitHub
• URL: https://github.com/ashishpatel26/srgan-keras-for-medical-images
• Owner: ashishpatel26
• License: apache-2.0
• Created: 2021-04-13T13:16:36.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-04-18T12:05:03.000Z (almost 4 years ago)
• Last Synced: 2024-11-19T04:11:43.385Z (3 months ago)
• Topics: gan, medical-imaging, medical-super-resolution, srgan, super-resolution
• Language: Jupyter Notebook
• Homepage:
• Size: 5.19 MB
• Stars: 4
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# SRGAN Keras For Medical Images

**1. OCT Image Dataset** : [**Kaggle**](https://www.kaggle.com/paultimothymooney/kermany2018)

Notebook : [**Github**](https://nbviewer.jupyter.org/github/ashishpatel26/SRGAN-Keras-For-Medical-Images/blob/main/SRGAN_enhancing-oct-image-resolution.ipynb)

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http://www.cell.com/cell/fulltext/S0092-8674(18)30154-5

Retinal optical coherence tomography (OCT) is an imaging technique used to capture high-resolution cross sections of the retinas of living patients. Approximately 30 million OCT scans are performed each year, and the analysis and interpretation of these images takes up a significant amount of time (Swanson and Fujimoto, 2017).

![](https://i.imgur.com/fSTeZMd.png)

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**2.Brain-Tumor Dataset** : [**Kaggle**](https://www.kaggle.com/mayank1101sharma/braintumor)

Notebook : [**Github**](https://nbviewer.jupyter.org/github/ashishpatel26/SRGAN-Keras-For-Medical-Images/blob/main/SRGAN-on-brain-tumor-data.ipynb)

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![](https://github.com/ashishpatel26/SRGAN-Keras-For-Medical-Images/raw/main/Image/Brainmri.jpg)

**Thanks for reading**

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