Overcoming nonlinear dynamics in diabetic retinopathy classification: a robust AI-based model with chaotic swarm intelligence optimization and recurrent long short …

YB Özçelik, A Altan - Fractal and Fractional, 2023 - mdpi.com
Diabetic retinopathy (DR), which is seen in approximately one-third of diabetes patients
worldwide, leads to irreversible vision loss and even blindness if not diagnosed and treated …

Application of Artificial Intelligence for Classification, Segmentation, Early Detection, Early Diagnosis, and Grading of Diabetic Retinopathy From Fundus Retinal …

G Rajarajeshwari, GC Selvi - IEEE Access, 2024 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) remains a major factor contributing to vision loss worldwide,
particularly among individuals with diabetes. Timely and accurate diagnosis of DR is …

Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas

A Jabbar, S Naseem, J Li, T Mahmood… - International Journal of …, 2024 - Springer
Diabetic retinopathy (DR) significantly burdens ophthalmic healthcare due to its wide
prevalence and high diagnostic costs. Especially in remote areas with limited medical …

Diabetic retinopathy grading based on multi-scale residual network and cross-attention module

AK Singh, S Madarapu, S Ari - Digital Signal Processing, 2025 - Elsevier
Diabetic retinopathy (DR) is a severe effect of diabetes mellitus that mainly impacts the
retinal tissue and carries a high risk of blindness. Ophthalmologists face challenges in …

Level-set based adaptive-active contour segmentation technique with long short-term memory for diabetic retinopathy classification

A Bhansali, R Patra, M Abouhawwash… - … in Bioengineering and …, 2023 - frontiersin.org
Diabetic Retinopathy (DR) is a major type of eye defect that is caused by abnormalities in
the blood vessels within the retinal tissue. Early detection by automatic approach using …

Precise detection of diabetic retinopathy using adaptive remora optimization algorithm with deep adversarial approach

SS Mondal, N Mandal, KK Singh - Multimedia Tools and Applications, 2024 - Springer
Recent advancements in diabetic retinopathy detection have showcased the potential of
machine and deep learning techniques, yet challenges persist in achieving robust and …

DenseExudatesNet: a novel approach for hard exudates detection in retinal images using deep learning

C Pratheeba, NCJ Rufus - International Journal of Machine Learning and …, 2024 - Springer
Diabetic Retinopathy (DR) affects light sensitive layer that is a prominent reason for visual
deterioration. If the patient with Hard Exudates (HE) is not identified promptly, serious …

A Novel Automated System for Early Diabetic Retinopathy Detection and Severity Classification

SS Ainapur, V Patil - Journal of Chemometrics, 2024 - Wiley Online Library
Diabetes is a common and serious global disease that damages blood vessels in the eye,
leading to vision loss. Early and accurate diagnosis of this issue is crucial to reduce the risk …

Improved Diabetic Retinopathy Detection Using ERXG-PS Ensemble Algorithm and Modified Principal Component Analysis

K Anitha, T Sethukarasi, K Abinaya… - IETE Journal of …, 2025 - Taylor & Francis
One of the diseases that affect the vision of human is diabetic retinopathy (DR). Numerous
techniques were evolved for the identification of DR, but they are not easily accessible and …

A Context for Effective Prediction and Classification of Diabetic Retinopathy Disease using Deep Ensemble AlexNet & LeNet Classifier

S Balaji, B Karthik - 2024 11th International Conference on …, 2024 - ieeexplore.ieee.org
Typically, Diabetes is regarded as a metabolic disorder which aids in retinal complications
termed Diabetic Retinopathy (DR) which is regarded as a major reason for blindness over …