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Volume 12, Issue 3 (March 2026)

Deep Learning-based Eye Disease Detection

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7.883
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Volume 12 Issue 07

July 2026

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Author(s)

Mrs.I.Suganya Mrs. R. K. Nithya Ms.K.Kavipriya Ms.A.Sindhupriya Ms.S.T.Swathi

Abstract

Eye Diseases Such As Diabetic Retinopathy (DR), Glaucoma, And Age-related Macular Degeneration (AMD) Remain Major Causes Of Vision Loss Globally. Early Screening Is Crucial But Limited By The Availability Of Trained Ophthalmologists. This Paper Proposes A Deep Learning–based Automated Screening System For Multiclass Eye Disease Detection Using Retinal Fundus Images. The Model Integrates Preprocessing Enhancement, Feature Extraction Using CNN Architectures, And Classification Using Transfer Learning. Experiments Conducted Publicly Available Datasets Demonstrate High Diagnostic Accuracy, Outperforming Conventional Models. This Work Highlights The Potential Of Deep Learning For Scalable And Cost-effective Ophthalmic Disease Screening.

Keywords

Deep Learning Eye Disease Detection Convolutional Neural Networks Fundus Images Medical Imaging Transfer Learning Healthcare AI

Paper ID

IJSARTV12I3104804

Publication Date

March 29, 2026

Research Area

AI And Deep Learning In Medical

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