Automated detection and diagnosis of diabetic retinopathy: A comprehensive survey

V Lakshminarayanan, H Kheradfallah, A Sarkar… - Journal of …, 2021 - mdpi.com
Diabetic Retinopathy (DR) is a leading cause of vision loss in the world. In the past few
years, artificial intelligence (AI) based approaches have been used to detect and grade DR …

Artificial intelligence promotes the diagnosis and screening of diabetic retinopathy

X Huang, H Wang, C She, J Feng, X Liu, X Hu… - Frontiers in …, 2022 - frontiersin.org
Deep learning evolves into a new form of machine learning technology that is classified
under artificial intelligence (AI), which has substantial potential for large-scale healthcare …

Automatic severity classification of diabetic retinopathy based on densenet and convolutional block attention module

MM Farag, M Fouad, AT Abdel-Hamid - IEEE Access, 2022 - ieeexplore.ieee.org
Diabetic Retinopathy (DR)-a complication developed due to heightened blood glucose
levels-is deemed one of the most sight-threatening diseases. Unfortunately, DR screening is …

Deep Learning-based prediction of Diabetic Retinopathy using CLAHE and ESRGAN for Enhancement

G Alwakid, W Gouda, M Humayun - Healthcare, 2023 - mdpi.com
Vision loss can be avoided if diabetic retinopathy (DR) is diagnosed and treated promptly.
The main five DR stages are none, moderate, mild, proliferate, and severe. In this study, a …

The role of different retinal imaging modalities in predicting progression of diabetic retinopathy: A survey

M Elsharkawy, M Elrazzaz, A Sharafeldeen, M Alhalabi… - Sensors, 2022 - mdpi.com
Diabetic retinopathy (DR) is a devastating condition caused by progressive changes in the
retinal microvasculature. It is a leading cause of retinal blindness in people with diabetes …

Non‐invasive skin autofluorescence as a screening method for diabetic retinopathy

I Martínez‐García, I Cavero‐Redondo… - Diabetes/Metabolism …, 2024 - Wiley Online Library
Diabetic retinopathy (DR) is a public health problem and a common cause of blindness. It is
diagnosed by fundus examination; however, this is a costly and time‐consuming method …

Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina

YS Bazargani, M Mirzaei, N Sobhi, M Abdollahi… - arXiv preprint arXiv …, 2024 - arxiv.org
Diabetes mellitus (DM) predisposes patients to vascular complications. Retinal images and
vasculature reflect the body's micro-and macrovascular health. They can be used to …

The role of medical image modalities and AI in the early detection, diagnosis and grading of retinal diseases: a survey

GA Saleh, NM Batouty, S Haggag, A Elnakib, F Khalifa… - Bioengineering, 2022 - mdpi.com
Traditional dilated ophthalmoscopy can reveal diseases, such as age-related macular
degeneration (AMD), diabetic retinopathy (DR), diabetic macular edema (DME), retinal tear …

A decision support system for diagnosing diabetes using deep neural network

O Rabie, D Alghazzawi, J Asghar… - Frontiers in public …, 2022 - frontiersin.org
Background and Objective According to the WHO, diabetes mellitus is a long-term condition
marked by high blood sugar levels. The consequences might be far-reaching. According to …

Combining functional and morphological retinal vascular characteristics achieves high-precision diagnosis of mild non-proliferative diabetic retinopathy

J Zhang, K Ma, Z Luo, G Wang, Z Feng… - Journal of Translational …, 2024 - Springer
Background To explore the functional and morphological variations of retinal vessels in
diabetes with no clinically detectable retinopathy (NDR) and mild non-proliferative diabetic …