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

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 …

Detecting regions of change in multiple images of the same scene taken at different times is
of widespread interest due to a large number of applications in diverse disciplines, including …

This paper aims at synthesizing multiple realistic-looking retinal (or neuronal) images from
an unseen tubular structured annotation that contains the binary vessel (or neuronal) …

We present a method for automated segmentation of the vasculature in retinal images. The
method produces segmentations by classifying each image pixel as vessel or nonvessel …

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 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 …

Retinal image analysis is increasingly prominent as a nonintrusive diagnosis method in
modern ophthalmology. In this paper, we present a novel method to segment blood vessels …

Motivated by the problem of retinal image registration, this paper introduces and analyzes a
new registration algorithm called Dual-Bootstrap Iterative Closest Point (Dual-Bootstrap …

Motivated by the goals of improving detection of low-contrast and narrow vessels and
eliminating false detections at nonvascular structures, a new technique is presented for …