CNN-hyperparameter optimization for diabetic maculopathy diagnosis in optical coherence tomography and fundus retinography

G Atteia, N Abdel Samee, ESM El-Kenawy, A Ibrahim - Mathematics, 2022 - mdpi.com
Diabetic Maculopathy (DM) is considered the most common cause of permanent visual
impairment in diabetic patients. The absence of clear pathological symptoms of DM hinders …

EyeDeep-Net: a multi-class diagnosis of retinal diseases using deep neural network

N Sengar, RC Joshi, MK Dutta, R Burget - Neural Computing and …, 2023 - Springer
Retinal images are a key element for ophthalmologists in diagnosing a variety of eye
illnesses. The retina is vulnerable to microvascular changes as a result of many retinal …

Multi-stage classification of retinal OCT using multi-scale ensemble deep architecture

O Akinniyi, MM Rahman, HS Sandhu, A El-Baz… - Bioengineering, 2023 - mdpi.com
Accurate noninvasive diagnosis of retinal disorders is required for appropriate treatment or
precision medicine. This work proposes a multi-stage classification network built on a multi …

Auto-metric graph neural network optimized with capuchin search optimization algorithm for coinciding diabetic retinopathy and diabetic macular edema grading

JJG Chandran, J Jabez, S Srinivasulu - Biomedical Signal Processing and …, 2023 - Elsevier
Diabetic retinopathy (DR) and diabetic macular edema (DME) are the major eternal
blindness in aged people. In this manuscript, Auto-Metric Graph Neural Network (AGNN) …

Prediction of rail-wheel contact parameters for a metro coach using machine learning

SK Singh, AK Das, SR Singh, V Racherla - Expert Systems with …, 2023 - Elsevier
Dynamics of metro coach is complex with frequent acceleration, braking, sharp turns and
gradients. Due to sharp turns and twists in track, metro coaches are more prone to the …

OHGCNet: optimal feature selection-based hybrid graph convolutional network model for joint DR-DME classification

VPC Reddy, KK Gurrala - Biomedical Signal Processing and Control, 2022 - Elsevier
Diabetic retinopathy (DR) is the crucial eye disease, which effects the blood vessels of the
patient suffering with diabetes. The Diabetic macular edema (DME) is another crucial …

Optimized deep CNN for detection and classification of diabetic retinopathy and diabetic macular edema

V Thanikachalam, K Kabilan, SK Erramchetty - BMC Medical Imaging, 2024 - Springer
Abstract Diabetic Retinopathy (DR) and Diabetic Macular Edema (DME) are vision related
complications prominently found in diabetic patients. The early identification of DR/DME …

Deep-Ocular: Improved Transfer Learning Architecture Using Self-Attention and Dense Layers for Recognition of Ocular Diseases

Q Abbas, M Albathan, A Altameem, RS Almakki… - Diagnostics, 2023 - mdpi.com
It is difficult for clinicians or less-experienced ophthalmologists to detect early eye-related
diseases. By hand, eye disease diagnosis is labor-intensive, prone to mistakes, and …

A physics-informed deep learning approach for combined cycle fatigue life prediction

C Feng, Z Long, M Su, L Xu, L Zhao, Y Han - Journal of Constructional …, 2024 - Elsevier
The prediction of the combined high and low cycle fatigue (CCF) life of welded components
was valuable for the reliability of practical engineering structures. In this study, a physics …

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 …