Retinal blood vessels analysis is of interest for medical screening, especially in the
diagnosis of diabetic retinopathy. In this paper, we propose a new method for the …

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

A lot of important disease information can be accessed by performing retinal blood vessel
analysis on fundus images. Diabetic retinopathy is one of the diseases understood by retinal …

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 …

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 …

Automated image processing techniques have the ability to assist in the early detection of
diabetic retinopathy disease which can be regarded as a manifestation of diabetes on the …

Several diseases can be detected and diagnosed at a very early stage by observing
changes in retinal blood vessel features. In order to detect these changes, the major step …

Automatic extraction of retinal blood vessels plays an important role in the diagnosis of many
retinal diseases and also for diagnosing several complicated diseases such as stroke …

The manual segmentation of the blood vessels in retinal images has numerous limitations. It
is very time consuming and prone to human error, particularly with a very twisted structure of …

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 …