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ISSN 2063-5346
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Glaucoma Detection in retinal Fundus Images using various Deep Learning architectures

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Rajesh Kumar,Dr. Hare Ram Sah
» doi: 10.48047/ecb/2023.12.5.023

Abstract

Glaucoma has become one of the most common reasons why people go blind all over the world. It's a disease that never goes away and can't be cured. Early diagnosis and screening for glaucoma are two of the most important things you can do to fight this disease. The use of deep learning in this situation looks very promising. In this study, proposed tested the effectiveness of three different deep learning (DL) architectures. One of them was a Convolutional Neural Network (CNN) model that used maximum pooling. Glaucoma is a type of neuropathy that affects the optic nerve and gets worse over time. It is one of the main reasons why people lose their eyesight for good. This condition, which is also a common cause of blindness, is most common among older people.

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