A survey on deep-learning-based diabetic retinopathy classification

A Sebastian, O Elharrouss, S Al-Maadeed… - Diagnostics, 2023 - mdpi.com
The number of people who suffer from diabetes in the world has been considerably
increasing recently. It affects people of all ages. People who have had diabetes for a long …

Classification and segmentation of diabetic retinopathy: a systemic review

N Shaukat, J Amin, MI Sharif, MI Sharif, S Kadry… - Applied Sciences, 2023 - mdpi.com
Diabetic retinopathy (DR) is a major reason of blindness around the world. The
ophthalmologist manually analyzes the morphological alterations in veins of retina, and …

[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 …

Skin lesion classification of dermoscopic images using machine learning and convolutional neural network

B Shetty, R Fernandes, AP Rodrigues… - Scientific Reports, 2022 - nature.com
Detecting dangerous illnesses connected to the skin organ, particularly malignancy,
requires the identification of pigmented skin lesions. Image detection techniques and …

[HTML][HTML] 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 …

Diagnosis of Brain Tumor Using Light Weight Deep Learning Model with Fine‐Tuning Approach

T Shelatkar, Urvashi, M Shorfuzzaman… - … Methods in Medicine, 2022 - Wiley Online Library
Brain cancer is a rare and deadly disease with a slim chance of survival. One of the most
important tasks for neurologists and radiologists is to detect brain tumors early. Recent …

A novel fusion of genetic grey wolf optimization and kernel extreme learning machines for precise diabetic eye disease classification

AQ Khan, G Sun, M Khalid, A Imran, A Bilal, M Azam… - Plos one, 2024 - journals.plos.org
In response to the growing number of diabetes cases worldwide, Our study addresses the
escalating issue of diabetic eye disease (DED), a significant contributor to vision loss …

Smart detection and diagnosis of diabetic retinopathy using bat based feature selection algorithm and deep forest technique

P Modi, Y Kumar - Computers & Industrial Engineering, 2023 - Elsevier
Diabetic retinopathy is a retinal eye disease due to presence of diabetes and diabetes can
be described as metabolic disorder in which glucose level is higher in human body. Diabetic …

Diabetic retinopathy detection and severity classification using optimized deep learning with explainable AI technique

B Lalithadevi, S Krishnaveni - Multimedia Tools and Applications, 2024 - Springer
Diabetic Retinopathy (DR) is a serious consequence of prolonged diabetic patients that
causes vision threatening issues and irreversible blindness problem. In the beginning stage …

Deep learning-enhanced diabetic retinopathy image classification

G Alwakid, W Gouda, M Humayun… - Digital health, 2023 - journals.sagepub.com
Objective Diabetic retinopathy (DR) can sometimes be treated and prevented from causing
irreversible vision loss if caught and treated properly. In this work, a deep learning (DL) …