Deep learning and medical image processing techniques for diabetic retinopathy: a survey of applications, challenges, and future trends

P Uppamma, S Bhattacharya - Journal of Healthcare …, 2023 - Wiley Online Library
Diabetic retinopathy (DR) is a common eye retinal disease that is widely spread all over the
world. It leads to the complete loss of vision based on the level of severity. It damages both …

A comprehensive review of diabetic retinopathy detection and grading based on deep learning and metaheuristic optimization techniques

AM Dayana, WRS Emmanuel - Archives of Computational Methods in …, 2023 - Springer
Diabetic retinopathy (DR) is a microvascular disorder that causes retinal damage and
irreversible blindness. It is a condition instigated by prolonged Diabetes Mellitus. According …

Convolution neural network model for predicting various lesion-based diseases in diabetic macula edema in optical coherence tomography images

DKJB Saini, R Sivakami, R Venkatesh… - … Signal Processing and …, 2023 - Elsevier
Abstract Diabetic Macular Edema (DME), a rare eye disease primarily found in diabetic
patients, is due to the formation of fluid in the extra-cellular space of the macular area in the …

Joint DR-DME grading classification using optimal feature selection-based deep graph correlation network

KK Gurrala - Applied Soft Computing, 2023 - Elsevier
Diabetic macular edema (DME) and diabetic retinopathy (DR) are the leading causes of
human blindness, and accurate grading of individual DME, individual DR, and the joint DR …

Recognition of diabetic retinopathy and macular edema using deep learning

F Jeribi, T Nazir, M Nawaz, A Javed… - Medical & Biological …, 2024 - Springer
Diabetic retinopathy (DR) and diabetic macular edema (DME) are both serious eye
conditions associated with diabetes and if left untreated, and they can lead to permanent …

Diabetic Retinopathy Detection using Deep Learning Framework and Explainable Artificial Intelligence Technique

U Posham, S Bhattacharya - 2024 14th International …, 2024 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is a serious eye condition induced by diabetes that can result in
eyesight. In order to overcome the vision impairment of diabetes mellitus patients, it is …

[HTML][HTML] A broad study of machine learning and deep learning techniques for diabetic retinopathy based on feature extraction, detection and classification

K Sangeetha, K Valarmathi, T Kalaichelvi… - Measurement …, 2023 - Elsevier
Diabetic Retinopathy (DR) is a micro vasculardisorder that affects the eyes and is a long
term effectofDiabetesmellitus. The likelihood to develop diabetic retinopathy is directly …

Obstructive sleep apnea detection using optimized Bi-LSTM with random forest based exhaustive feature selector

M Kemidi, DR Marur, CVK Reddy - Multimedia Tools and Applications, 2024 - Springer
The diagnosis of sleep disorders like obstructive sleep apnea (OSA) is one of the most
common types of sleep disorder, which requires the identification of the phases of sleep that …

[HTML][HTML] SDRG-Net: Integrating Multi-Level Color Transformation Encryption and ICNN-IRDO Feature Analysis for Robust Diabetic Retinopathy Diagnosis

VKR Poranki, B Srinivasarao - e-Prime-Advances in Electrical Engineering …, 2025 - Elsevier
Abstract The Internet of Medical Things (IoMT) has emerged as a potential solution to
various challenges in disease grading, offering enhanced communication between patients …

Deep Learning Techniques For Signal Processing On Spherical Manifolds In Near-Field Applications

M Mohseni, PR Kapula, A Dutt… - 2024 IEEE 13th …, 2024 - ieeexplore.ieee.org
Improvements in deep learning have benefited signal processing on spherical surfaces in
particular. This work addresses deep learning for close-range spherical surface signal …