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 …

[HTML][HTML] Automated microaneurysms detection for early diagnosis of diabetic retinopathy: A Comprehensive review

V Mayya, S Kamath, U Kulkarni - Computer Methods and Programs in …, 2021 - Elsevier
Diabetic retinopathy (DR), a chronic disease in which the retina is damaged due to small
vessel damage caused by diabetes mellitus, is one of the leading causes of vision …

A machine learning approach to pedestrian detection for autonomous vehicles using high-definition 3D range data

PJ Navarro, C Fernandez, R Borraz, D Alonso - Sensors, 2016 - mdpi.com
This article describes an automated sensor-based system to detect pedestrians in an
autonomous vehicle application. Although the vehicle is equipped with a broad set of …

Hierarchical severity grade classification of non-proliferative diabetic retinopathy

C Bhardwaj, S Jain, M Sood - Journal of Ambient Intelligence and …, 2021 - Springer
Curability of diabetic retinopathy (DR) abnormalities highly rely on regular monitoring, early-
stage diagnosis and timely treatment. Detection and analysis of variation in eye images can …

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 …

Evolutionary computing enriched computer-aided diagnosis system for diabetic retinopathy: a survey

RF Mansour - IEEE reviews in biomedical engineering, 2017 - ieeexplore.ieee.org
Complications caused due to diabetes mellitus result in significant microvasculature that
eventually causes diabetic retinopathy (DR) that keeps on increasing with time, and …

Machine learning and computer vision system for phenotype data acquisition and analysis in plants

PJ Navarro, F Pérez, J Weiss, M Egea-Cortines - Sensors, 2016 - mdpi.com
Phenomics is a technology-driven approach with promising future to obtain unbiased data of
biological systems. Image acquisition is relatively simple. However data handling and …

Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image-and Signal-Based Studies

MH Akpinar, A Sengur, M Salvi, S Seoni… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Generative Adversarial Networks (GANs) have emerged as a powerful tool in artificial
intelligence, particularly for unsupervised learning. This systematic review analyzes GAN …

Taylor series‐based deep belief network for automatic classification of diabetic retinopathy using retinal fundus images

SS Athalye, G Vijay - International Journal of Imaging Systems …, 2022 - Wiley Online Library
The diagnosis of diabetic retinopathy (DR) disease in the early stage is very important to
reduce the risk in DR treatment. Different methods are in practice for detecting the lesions …

Retinal image registration via feature-guided Gaussian mixture model

C Liu, J Ma, Y Ma, J Huang - JOSA A, 2016 - opg.optica.org
Registration of retinal images taken at different times, from different perspectives, or with
different modalities is a critical prerequisite for the diagnoses and treatments of various eye …