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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 14, ISSUE 5, MAY 2025

DIABETIC RETINOPATHY USING AI AND ML

Prof Divya, Karthik V Suvarna, Prajwal, Ashwin M, Shreenikethan R Bhat

DOI: 10.17148/IJARCCE.2025.14587

Abstract: The DR (Diabetic Retinopathy) is an eye variation which the human retina is influenced because of long haul diabetes. Diabetes is a chronic condition related to an expanding measure of glucose level. As the degree of glucose builds, a few adjustments happen in veins of the retina. As diabetes advances, the vision of patients may begin to cause Diabetic Retinopathy. It is exceptionally far reaching among moderately aged and older individuals. In this article, fundus images of eye (retina) are used and the features are extracted from these images using the image processing technique. Images are trained, tested and severity of the DR is classified using (CNN) algorithm.

Keywords: Diabetic Retinopathy Screening (DRS), Classification, Prediction, Image Processing, Machine Learning, Retinal Images, Data Analytics.

How to Cite:

[1] Prof Divya, Karthik V Suvarna, Prajwal, Ashwin M, Shreenikethan R Bhat, “DIABETIC RETINOPATHY USING AI AND ML,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14587