Deep learning in medicine: Advancing healthcare with intelligent solutions and the future of holography imaging in early diagnosis

A Nazir, A Hussain, M Singh, A Assad - Multimedia Tools and Applications, 2024 - Springer
Deep Learning (DL) is currently transforming health services by significantly improving early
cancer diagnosis, drug discovery, protein–protein interaction analysis, and gene editing …

Ensemble deep learning and EfficientNet for accurate diagnosis of diabetic retinopathy

L Arora, SK Singh, S Kumar, H Gupta, W Alhalabi… - Scientific Reports, 2024 - nature.com
Diabetic Retinopathy (DR) stands as a significant global cause of vision impairment,
underscoring the critical importance of early detection in mitigating its impact. Addressing …

HDR-EfficientNet: a classification of hypertensive and diabetic retinopathy using optimize efficientnet architecture

Q Abbas, Y Daadaa, U Rashid, MZ Sajid, MEA Ibrahim - Diagnostics, 2023 - mdpi.com
Hypertensive retinopathy (HR) and diabetic retinopathy (DR) are retinal diseases closely
associated with high blood pressure. The severity and duration of hypertension directly …

Diabetic retinopathy prediction based on vision transformer and modified capsule network

M Oulhadj, J Riffi, C Khodriss, AM Mahraz… - Computers in Biology …, 2024 - Elsevier
Diabetic retinopathy is considered one of the most common diseases that can lead to
blindness in the working age, and the chance of developing it increases as long as a person …

The use of Image Processing for the Classification of Diabetic Retinopathy

S Pandey, S Perti, A Somaddar… - … on Circuit Power …, 2023 - ieeexplore.ieee.org
Retinopathy represents one of the primary causes of blurred vision worldwide. To stop
eyesight deterioration, prompt detection and therapy are essential. Deep learning as well as …

IoMT enabled diabetic retinopathy segmentation and classification using ensemble efficient net model

V Bhutnal, NR Moparthi - Multimedia Tools and Applications, 2024 - Springer
The most common preventable cause of blindness in working-age adults worldwide is
diabetic retinopathy (DR). Accurate detection of DR by machine learning (ML) approaches is …

[HTML][HTML] Диагностика диабетической ретинопатии с помощью сверточной нейронной сети

ДС Шишикина, ВИ Горбаченко… - Модели, системы, сети …, 2023 - cyberleninka.ru
Актуальность и цели. В работе рассматривается проблема диагностики диабетической
ретинопатии. Целью исследования является создание программного обеспечения для …

Enhancing Diabetic Retinopathy Detection Through Transformer Based Knowledge Distillation and Explainable AI

A Al Shafi, MH Shawon, N Shahid… - … Joint Conference on …, 2024 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is a critical complication of diabetes and is characterized by
damage to retinal blood vessels. Without early diagnosis and treatment, it can lead to vision …

Smart Diagnosis System For Diabetic Retinopathy

YA Al-Haj, BA Al-Badawi, KM Al-Nashad… - … and Applications in …, 2023 - ieeexplore.ieee.org
Diabetic retinopathy (DR) presents a substantial vision health challenge, demanding early
detection. However, limited ophthalmologist resources and meticulous manual diagnosis …

Enhancement of Diabetic Retinopathy Prediction Based Capsule Network and DenseNet-121 Utilizing Wavelet Decomposition

M Oulhadj, J Riffi, C Khodriss… - 2024 Mediterranean …, 2024 - ieeexplore.ieee.org
Diabetic retinopathy is a health condition associated with the leaking of blood vessels in the
retina, potentially resulting in vision impairment. This medical condition impacts a broad …