[HTML][HTML] Artificial intelligence for diabetic retinopathy detection: A systematic review

A Senapati, HK Tripathy, V Sharma… - Informatics in Medicine …, 2024 - Elsevier
The incidence of diabetic retinopathy (DR) has increased at a rapid pace in recent years all
over the world. Diabetic eye illness is identified as one of the most common reasons for …

Classification of Diabetic Retinopathy Images through Deep Learning Models-Color Channel Approach: A Review

S Salih, AM Abdulazeez - The Indonesian Journal of Computer Science, 2024 - ijcs.net
On a global scale diabetic retinopathy, or DR, is the most common cause of vision loss.
Blindness can be prevented with prompt treatment and early identification with retinal …

Early retinal microvascular alterations in young type 1 diabetic patients without clinical retinopathy

AO Dan, A Ștefănescu-Dima, AT Bălășoiu, I Puiu… - Diagnostics, 2023 - mdpi.com
The purpose of this study is to identify and quantify preclinical changes with the help of
optical coherence tomography angiography (OCTA) within the retinal microcirculation of …

Explainable artificial intelligence in deep learning neural nets-based digital images analysis

AN Averkin, EN Volkov, SA Yarushev - Journal of Computer and Systems …, 2024 - Springer
This review shows the capabilities of artificial intelligence (AI) in the analysis of digital
images in the field of medicine using convolutional neural networks of deep learning (DL). A …

Multimodal image fusion for the detection of diabetic retinopathy using optimized explainable AI-based Light GBM classifier

P Bidwai, S Gite, N Pahuja, K Pahuja, K Kotecha… - Information …, 2024 - Elsevier
Diabetic Retinopathy (DR) is a widespread ocular condition and a significant contributor to
global blindness. Timely identification and precise diagnosis of DR are essential for …

Enhancing diabetic retinopathy diagnosis with inception v4: a deep learning approach

R Athilakshmi, R Jansi… - 2023 5th International …, 2023 - ieeexplore.ieee.org
An automated system for the classification of Diabetic Retinopathy (DR) is introduced in this
study. DR is a prominent cause of blindness globally, primarily impacting individuals aged …

Detection of diabetic retinopathy using deep learning

P Bidwai, S Gite, K Patwa… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
Long-term diabetic patients are more likely to develop diabetic retinopathy (DR), a serious
health condition. If such a determination is not found early enough, it might result in visual …

Improving Diabetic Retinopathy grading using Feature Fusion for limited data samples

K Ashwini, R Dash - Computers and Electrical Engineering, 2024 - Elsevier
Abstract Early detection of Diabetic Retinopathy (DR) and its grading has been a growing
demand among researchers in this community. Computer-aided diagnostic (CAD) systems …

[HTML][HTML] DRCCT: Enhancing Diabetic Retinopathy Classification with a Compact Convolutional Transformer

M Touati, R Touati, L Nana, F Benzarti… - Big Data and Cognitive …, 2025 - mdpi.com
Diabetic retinopathy, a common complication of diabetes, is further exacerbated by factors
such as hypertension and obesity. This study introduces the Diabetic Retinopathy Compact …