Deep Learning-based Eye Disease Detection

• Author(s):

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

• Keywords:

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

• 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.

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Other Details

• Paper id:

  IJSARTV12I3104804

• Published in:

  Volume: 12 Issue: 3 March 2026

• Publication Date:

  2026-03-29

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