Glaucoma Diagnosis Using Convolutional Neural Networks (CNNs)

A. Alagar; A. Annalakshmi; D. Beninal

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Research Article

Glaucoma Diagnosis Using Convolutional Neural Networks (CNNs)

A. Alagar1A. Annalakshmi2D. 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

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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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Glaucoma Diagnosis Using Convolutional Neural Networks (CNNs)

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

Abstract

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