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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 3, MARCH 2025

A Review of Diabetic Retinopathy Disease Prediction using Deep Learning Techniques

Mahendra Singh, Anurag Sharma, Shrinath Tailor

DOI: 10.17148/IJARCCE.2025.14342

Abstract: Diabetic retinopathy is a severe eye disease that is fast spreading all over the world. It arises when blood sugar levels rise, leading to problems with the kidneys, eyes, and heart. Diabetic Retinopathy (DR) is an eye disease that is caused by the breakdown of blood vessels in the retina, which occurs as diabetes progresses. It is thought to be the main cause of visual impairment because it progresses asymptomatically at the early phases. This review article discusses the methods adopted in diabetic retinopathy detection, segmentation, and classification using deep and machine learning algorithms, and discusses their importance and limitations, along with potential future directions to overcome these limitations.

Keywords: Diabetic Retinopathy, Deep Learning, CNN, Accuracy.

How to Cite:

[1] Mahendra Singh, Anurag Sharma, Shrinath Tailor, “A Review of Diabetic Retinopathy Disease Prediction using Deep Learning Techniques,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14342