A review on recent developments for detection of diabetic retinopathy

J Amin, M Sharif, M Yasmin - Scientifica, 2016 - Wiley Online Library
Diabetic retinopathy is caused by the retinal micro vasculature which may be formed as a
result of diabetes mellitus. Blindness may appear as a result of unchecked and severe cases …

Survey on recent developments in automatic detection of diabetic retinopathy

A Bilal, G Sun, S Mazhar - Journal Français d'Ophtalmologie, 2021 - Elsevier
Diabetic retinopathy (DR) is a disease facilitated by the rapid spread of diabetes worldwide.
DR can blind diabetic individuals. Early detection of DR is essential to restoring vision and …

Relation networks for optic disc and fovea localization in retinal images

SC Babu, SR Maiya, S Elango - arXiv preprint arXiv:1812.00883, 2018 - arxiv.org
Diabetic Retinopathy is the leading cause of blindness in the world. At least 90\% of new
cases can be reduced with proper treatment and monitoring of the eyes. However, scanning …

Simultaneous segmentation of the optic disc and fovea in retinal images using evolutionary algorithms

EJ Carmona, JM Molina-Casado - Neural Computing and Applications, 2021 - Springer
In this work, we present a new methodology to simultaneously segment anatomical
structures in medical images. Additionally, this methodology is instantiated in a method that …

Rethinking retinal landmark localization as pose estimation: Naïve single stacked network for optic disk and fovea detection

SR Maiya, P Mathur - ICASSP 2020-2020 IEEE international …, 2020 - ieeexplore.ieee.org
Automatic detection of optic disk and fovea, the two fundamental biological landmarks of the
retinal system, is crucial to track the disease progression in a diabetic patient. Recent …

Automation of the total clinical blood test based on the use of a hybrid algorithm

AI Pykhtin, VI Tomakov… - International …, 2018 - search.proquest.com
Segmentation of badly structured images is a complex task for different models of artificial
intelligence systems. The given work presents algorithmic solutions for intercellular relations …

Machine Learning and Deep Learning Models Used to Detect Diabetic Retinopathy and Its Stages

S Karthika, M Durgadevi - Medical Data Analysis and Processing using … - taylorfrancis.com
Numerous medical research investigations have been conducted, and artificial intelligence
(AI), machine learning (ML), and deep learning (DL) algorithms have grown in importance in …