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Research Article
Glaucoma Diagnosis Using Convolutional Neural Networks (CNNs)
A. Alagar1
A. Annalakshmi2
D. Beninal3
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.
Published Online: November-December 2024
Pages: 11-13
Cite this article
No DOIAbstract
Abstract: 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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