Classification and segmentation of diabetic retinopathy: a systemic review

N Shaukat, J Amin, MI Sharif, MI Sharif, S Kadry… - Applied Sciences, 2023 - mdpi.com
Diabetic retinopathy (DR) is a major reason of blindness around the world. The
ophthalmologist manually analyzes the morphological alterations in veins of retina, and …

Detection of diabetic retinopathy using convolutional neural networks for feature extraction and classification (DRFEC)

D Das, SK Biswas, S Bandyopadhyay - Multimedia tools and applications, 2023 - Springer
Diabetic Retinopathy (DR) is caused as a result of Diabetes Mellitus which causes
development of various retinal abrasions in the human retina. These lesions cause …

Computationally efficient deep learning models for diabetic retinopathy detection: a systematic literature review

NU Haq, T Waheed, K Ishaq, MA Hassan… - Artificial Intelligence …, 2024 - Springer
Diabetic retinopathy, often resulting from conditions like diabetes and hypertension, is a
leading cause of blindness globally. With diabetes affecting millions worldwide and …

Diabetic retinopathy detection and severity classification using optimized deep learning with explainable AI technique

B Lalithadevi, S Krishnaveni - Multimedia Tools and Applications, 2024 - Springer
Diabetic Retinopathy (DR) is a serious consequence of prolonged diabetic patients that
causes vision threatening issues and irreversible blindness problem. In the beginning stage …

Improving classification of retinal fundus image using flow dynamics optimized deep learning methods

V Banupriya, S Anusuya - arXiv preprint arXiv:2305.00294, 2023 - arxiv.org
Diabetic Retinopathy (DR) refers to a barrier that takes place in diabetes mellitus damaging
the blood vessel network present in the retina. This may endanger the subjects' vision if they …

A combined fuzzy backtracking search optimization algorithm to localize retinal blood vessels for diabetic retinopathy

AK Neelapala, GS Satapathi, V Borra… - Biomedical Physics …, 2023 - iopscience.iop.org
For diabetic retinopathy (DR) surgery, localization of retinal blood vessels is of paramount
importance. Fundus images which are often used for DR diagnosis suffer from poor contrast …

Performance evaluation of ai assisted automotive diabetic retinopathy classification systems

VKR Poranki, BS Rao - 2022 6th International Conference on …, 2022 - ieeexplore.ieee.org
The reliable diagnosis of diabetic retinopathy (DR) has long been a source of concern for
researchers. Due to fluctuating glucose levels, the blood vessels in the retina are more …

Enhancing Diabetic Retinopathy Diagnosis with ResNet-50-Based Transfer Learning: A Promising Approach

S Karthika, M Durgadevi, TY Rani - Annals of Data Science, 2024 - Springer
Diabetic retinopathy is considered the leading cause of blindness in the population. High
blood sugar levels can damage the tiny blood vessels in the retina at any time, leading to …

An eccentric Iter Net–based Improved Intelligent Water Drop (I2WD) feature selection and Discriminated Multi-Instance Classification (DMIC) models for diabetic …

V Rathinam, K Valarmathi - … Journal of Diabetes in Developing Countries, 2024 - Springer
Background Diabetic retinopathy (DR) is an autoimmune disorder that affects the human
eyes, causing lesions on the retina as a consequence of diabetes mellitus. Early …

[PDF][PDF] DRGNet: Diabetic Retinopathy Grading Network Using Data Balancing Integrated Transfer Learning with Graph-based KNN Classification.

S Pesaru, NK Mallenahalli, BV Vardhan - International Journal of …, 2023 - inass.org
Diabetic retinopathy (DR) is a prevalent and potentially blinding eye disease that affects
individuals with diabetes. On the other hand, internet of medical things (IoMT) incorporation …