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

Diabetes is a chronic end organ disease that occurs when the pancreas does not secrete
enough insulin or the body is unable to process it properly. Over time, diabetes affects the …

This paper presents a new supervised method for blood vessel detection in digital retinal
images. This method uses a neural network (NN) scheme for pixel classification and …

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 …

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 …

In this paper, a hierarchical image matting model is proposed to extract blood vessels from
fundus images. More specifically, a hierarchical strategy is integrated into the image matting …

The first pathologic alterations of the retina are seen in the vessel network. These
modifications affect very differently arteries and veins, and the appearance and entity of the …

Automated segmentation of retinal blood vessels in label-free fundus images entails a
pivotal role in computed aided diagnosis of ophthalmic pathologies, viz., diabetic …

Retina is the interior part of human's eye, has a vital role in vision. The digital image
captured by fundus camera is very useful to analyze the abnormalities in retina especially in …