Ocular fundus imaging plays a key role in monitoring the health status of the human eye.
Currently, a large number of imaging modalities allow the assessment and/or quantification …

Recently, there has been an advancement in the development of innovative computer-aided
techniques for the segmentation and classification of retinal vessels, the application of which …

The rapid development of digital imaging and computer vision has increased the potential of
using the image processing technologies in ophthalmology. Image processing systems are …

In recent years researchers have found that alternations in arterial or venular tree of the
retinal vasculature are associated with several public health problems such as diabetic …

This study is to demonstrate deep learning for automated artery-vein (AV) classification in
optical coherence tomography angiography (OCTA). The AV-Net, a fully convolutional …

This paper describes a technique for the retinal vessel classification into artery and vein
categories from fundus images within a framework to compute the arteriovenous ratio. This …

Retinopathy of prematurity (ROP) is a vasoproliferative retinal disease that affects premature
infants and causes permanent blindness if left untreated. Automated retinal diagnosis from …

Differential artery-vein analysis promises better sensitivity for retinal disease detection and
classification. However, clinical optical coherence tomography angiography (OCTA) …

Purpose: This study aimed to develop a method for automated artery-vein classification in
optical coherence tomography angiography (OCTA), and to verify that differential artery-vein …

Nowadays, it is obvious that there is a relationship between changes in the retinal vessel
structure and diseases such as diabetic, hypertension, stroke, and the other cardiovascular …