[HTML][HTML] Diabetic retinopathy detection through deep learning techniques: A review

WL Alyoubi, WM Shalash, MF Abulkhair - Informatics in Medicine Unlocked, 2020 - Elsevier
Diabetic Retinopathy (DR) is a common complication of diabetes mellitus, which causes
lesions on the retina that effect vision. If it is not detected early, it can lead to blindness …

Deep learning for diabetes: a systematic review

T Zhu, K Li, P Herrero… - IEEE Journal of Biomedical …, 2020 - ieeexplore.ieee.org
Diabetes is a chronic metabolic disorder that affects an estimated 463 million people
worldwide. Aiming to improve the treatment of people with diabetes, digital health has been …

[HTML][HTML] Overcoming nonlinear dynamics in diabetic retinopathy classification: a robust AI-based model with chaotic swarm intelligence optimization and recurrent long …

YB Özçelik, A Altan - Fractal and Fractional, 2023 - mdpi.com
Diabetic retinopathy (DR), which is seen in approximately one-third of diabetes patients
worldwide, leads to irreversible vision loss and even blindness if not diagnosed and treated …

[HTML][HTML] Diabetic retinopathy fundus image classification and lesions localization system using deep learning

WL Alyoubi, MF Abulkhair, WM Shalash - Sensors, 2021 - mdpi.com
Diabetic retinopathy (DR) is a disease resulting from diabetes complications, causing non-
reversible damage to retina blood vessels. DR is a leading cause of blindness if not …

Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images

Y Celik, M Talo, O Yildirim, M Karabatak… - Pattern Recognition …, 2020 - Elsevier
Advances in artificial intelligence technologies have made it possible to obtain more
accurate and reliable results using digital images. Due to the advances in digital …

Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model

K Shankar, ARW Sait, D Gupta… - Pattern Recognition …, 2020 - Elsevier
In recent days, the incidence of Diabetic Retinopathy (DR) has become high, affecting the
eyes because of drastic increase in the glucose level in blood. Globally, almost half of the …

Diabetic retinopathy detection using prognosis of microaneurysm and early diagnosis system for non-proliferative diabetic retinopathy based on deep learning …

L Qiao, Y Zhu, H Zhou - IEEE Access, 2020 - ieeexplore.ieee.org
Predicting the presence of Microaneurysms in the fundus images and the identification of
diabetic retinopathy in early-stage has always been a major challenge for decades. Diabetic …

[HTML][HTML] Diabetic retinopathy detection and classification using capsule networks

G Kalyani, B Janakiramaiah, A Karuna… - Complex & Intelligent …, 2023 - Springer
Nowadays, diabetic retinopathy is a prominent reason for blindness among the people who
suffer from diabetes. Early and timely detection of this problem is critical for a good …

Convolutional neural network for multi-class classification of diabetic eye disease

R Sarki, K Ahmed, H Wang, Y Zhang… - … Transactions on Scalable …, 2021 - vuir.vu.edu.au
Prompt examination increases the chances of effective treatment of Diabetic Eye Disease
(DED) and reduces the likelihood of permanent deterioration of vision. A key tool commonly …

Automatic License Plate Recognition via sliding-window darknet-YOLO deep learning

RC Chen - Image and Vision Computing, 2019 - Elsevier
Abstract Automatic License Plate Recognition (ALPR) is an important research topic in the
intelligent transportation system and image recognition fields. In this work, we address the …