Diabetic Retinopathy Detection

Chakre, Sagar; Ronghe, Manthan; Somkuwar, Attadip; Bansod, Ritik

doi:https://doi.org/10.55041/ijsmt.v2i4.272

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DIABETIC RETINOPATHY DETECTION

AUTHORS:

Sagar Chakre

Manthan Ronghe

Attadip Somkuwar

Ritik Bansod

Mentor

Asst. Prof.Priya Kamble

Affiliation

Dept. of Industrial IoT, Priyadarshini College of Engineering. Nagpur, Maharashtra, India

DOI: 10.55041/ijsmt.v2i4.272

CC BY 4.0 License:

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract

Diabetic retinopathy is an eye disease caused by diabetes that can lead to blindness if not detected early. This project proposes an automated system for detecting diabetic retinopathy using deep learning techniques. The system analyses retinal images and classifies them into different stages of the disease. The proposed method helps doctors in early diagnosis and reduces manual effort.

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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.

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