Retinal vessel segmentation algorithms are a fundamental component of automatic retinal
disease screening systems. This work examines the blood vessel segmentation …

The blood vessels are the primary anatomical structure that can be visible in retinal images.
The segmentation of retinal blood vessels has been accepted worldwide for the diagnosis of …

This paper presents a novel three-stage blood vessel segmentation algorithm using fundus
photographs. In the first stage, the green plane of a fundus image is preprocessed to extract …

Changes in retinal blood vessel features are precursors of serious diseases such as
cardiovascular disease and stroke. Therefore, analysis of retinal vascular features can assist …

This paper presents a novel unsupervised iterative blood vessel segmentation algorithm
using fundus images. First, a vessel enhanced image is generated by tophat reconstruction …

The detection of retinal vessel is of great importance in the diagnosis and treatment of many
ocular diseases. Many methods have been proposed for vessel detection. However, most of …

This paper presents an automated method for the segmentation of the vascular network in
retinal images. The algorithm starts with the extraction of vessel centerlines, which are used …

The relationship between changes in retinal vessel morphology and the onset and
progression of diseases such as diabetes, hypertension and retinopathy of prematurity …

Automatic segmentation of retinal blood vessels has become a necessary diagnostic
procedure in ophthalmology. The blood vessels consist of two types of vessels, ie, thin …

The change in morphology, diameter, branching pattern or tortuosity of retinal blood vessels
is an important indicator of various clinical disorders of the eye and the body. This paper …