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- Vol. 5 Issue 6
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Glaucoma Diagnosis Using Convolutional Neural Networks (CNNs)
Authors
1Assistant Professor, Department of Computer Science and Engineering, K.L.N. College of Engineering and Technology, Sivagangai, Tamilnadu, India. 23Final Year Students, Department of Computer Science and Engineering, K.L.N. College of Engineering and Technology, Sivagangai, Tamilnadu, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 5, Issue 6 (2024)
- Published Online
- November-December 2024
- Pages
- 11-13
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
Abstract
View PDFAbstract: To approach a glaucoma diagnosis based on convolutional neural networks (CNNs) using Blood Vessal Density (BVD) analysis on OCTA images. To define glaucoma is a leading cause of irreversible blindness and early diagnosis is crucial.To evaluate our approach on a dataset of octa images from glaucoma patients and healthy controls demonstrating a significant correlation between BVD and glaucoma severity. Our approch potential for early glaucoma detection.
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