oct-GAN Implementation
osama zaman
oct-GAN
oct-GAN
Input
Private Dataset: HD-OCT of MH (preoperative and postoperative)
Language
Python
Description
This project showcases the implementation of a GAN (Generative Adversarial Network) specifically designed for synthesizing optical coherence tomography (OCT) images in the context of macular hole treatment.
Key Metrics
Total Samples: 572 training samples and 137 validation samples.
Visualizations
Age Distribution
Age Distribution
Macular Hole Size Distribution
Macular Hole Size Distribution
Correlation Heatmap
Correlation Heatmap
Conclusion
This project demonstrates advanced techniques in machine learning and neural networks applied to the medical imaging field, providing valuable insights and generating synthetic OCT images that could aid in research and clinical applications.
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Posted May 11, 2026
Developed an oct-GAN for generating synthetic OCT images for macular hole treatment.
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