Diabetic retinopathy detection and grading of retinal fundus images using coyote optimization algorithm with deep learning

K Parthiban, M Kamarasan - Multimedia Tools and Applications, 2023 - Springer
Diabetic retinopathy (DR) is a major reason of preventable blindness for diabetic patients.
Regular retinal screening is recommended for diabetic persons to detect DR at the earlier …

Optimal feature selection-based diabetic retinopathy detection using improved rider optimization algorithm enabled with deep learning

AS Jadhav, PB Patil, S Biradar - Evolutionary intelligence, 2021 - Springer
This proposal tempts to develop automated DR detection by analyzing the retinal
abnormalities like hard exudates, haemorrhages, Microaneurysm, and soft exudates. The …

An efficient early detection of diabetic retinopathy using dwarf mongoose optimization based deep belief network

A Abirami, R Kavitha - Concurrency and Computation: Practice …, 2022 - Wiley Online Library
In general, diabetic retinopathy (DR) is a common ocular disease that causes damage to the
retina due to blood leakage from the vessels. Earlier detection of DR becomes a …

[PDF][PDF] An optimal deep learning based computer-aided diagnosis system for diabetic retinopathy

PT Nguyen, VDB Huynh, KD Vo, PT Phan… - Comput. Mater …, 2021 - cdn.techscience.cn
Diabetic Retinopathy (DR) is a significant blinding disease that poses serious threat to
human vision rapidly. Classification and severity grading of DR are difficult processes to …

Exponential gannet firefly optimization algorithm enabled deep learning for diabetic retinopathy detection

T Prabhakar, TVM Rao, B Maram… - … Signal Processing and …, 2024 - Elsevier
The diabetes complication which causes various damage to the human eye lead to
complete blindness is called diabetic retinopathy. The investigation of the optimization …

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 …

Computer aided diagnosis of diabetic retinopathy grading using spiking neural network

M Ragab, WH Aljedaibi, AF Nahhas… - Computers and Electrical …, 2022 - Elsevier
The recently developed deep learning models can be employed to design computer aided
diagnosis (CAD) models for diabetic retinopathy (DR). Though several DR classification …

An enhanced diabetic retinopathy detection and classification approach using deep convolutional neural network

DJ Hemanth, O Deperlioglu, U Kose - Neural Computing and Applications, 2020 - Springer
The objective of this study is to propose an alternative, hybrid solution method for
diagnosing diabetic retinopathy from retinal fundus images. In detail, the hybrid method is …

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 …

[HTML][HTML] Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier

M Nahiduzzaman, MR Islam, MOF Goni… - Expert Systems with …, 2023 - Elsevier
Diabetic retinopathy (DR) is an incurable retinal condition caused by excessive blood sugar
that, if left untreated, can result in even blindness. A novel automated technique for DR …