https://github.com/hamidhosen42/enhancing-glaucoma-diagnosis-with-explainable-ai-using-vision-transformers-deep-learning-techniques
This project presents an explainable AI-based glaucoma diagnosis system using deep learning and Vision Transformers (ViTs). Retinal fundus images are preprocessed with techniques like CLAHE and edge detection to enhance feature extraction. Multiple models, including CNN, VGG16/19, InceptionResNetV2, Xception, and ViTs, were evaluated, with ViTs ach
https://github.com/hamidhosen42/enhancing-glaucoma-diagnosis-with-explainable-ai-using-vision-transformers-deep-learning-techniques
cnn-classification grad-cam vgg16 vgg19 vision-transformers xai
Last synced: about 1 month ago
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This project presents an explainable AI-based glaucoma diagnosis system using deep learning and Vision Transformers (ViTs). Retinal fundus images are preprocessed with techniques like CLAHE and edge detection to enhance feature extraction. Multiple models, including CNN, VGG16/19, InceptionResNetV2, Xception, and ViTs, were evaluated, with ViTs ach
- Host: GitHub
- URL: https://github.com/hamidhosen42/enhancing-glaucoma-diagnosis-with-explainable-ai-using-vision-transformers-deep-learning-techniques
- Owner: hamidhosen42
- Created: 2025-07-25T12:07:38.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-07-25T13:33:59.000Z (3 months ago)
- Last Synced: 2025-07-25T19:10:04.468Z (3 months ago)
- Topics: cnn-classification, grad-cam, vgg16, vgg19, vision-transformers, xai
- Language: Jupyter Notebook
- Homepage: https://ieeexplore.ieee.org/document/10962741/
- Size: 25.2 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md