The visual exploration of retinal blood vessels assists ophthalmologists in the diagnoses of
different abnormalities of the eyes such as diabetic retinopathy, glaucoma, cardiovascular …

Diabetic detinopathy (DR) is effect of diabetes mellitus to the human vision that is the major
cause of blindness. Early diagnosis of DR is an important requirement in diabetes treatment …

Purpose. Retinal blood vessel image segmentation is an important step in ophthalmological
analysis. However, it is difficult to segment small vessels accurately because of low contrast …

Vessel segmentation in fundus images permits understanding retinal diseases and
computing image-based biomarkers. However, manual vessel segmentation is a time …

In this paper, we present a novel modification to level set based automatic retinal
vasculature segmentation approaches. The method introduces ridge sample extraction for …

Hypertensive retinopathy refers to a disease condition that damages the retinal
vascularization in hypertensive patients, so that it lead to the blindness and death. It can …

Segmentation of vasculature in retinal fundus image by level set methods employing
classical edge detection methodologies is a tedious task. In this study, a revised level set …

Background and Objective: In the realm of ophthalmic imaging, accurate vascular
segmentation is paramount for diagnosing and managing various eye diseases …

Objective To understand the current status, research hotspots, and trends of automatic
segmentation of fundus lesion images worldwide, providing a reference for subsequent …

This paper presents a method for blood vessel detection in digital retinal images. The
method uses fuzzy logic approach with block wise gridding. It uses an adaptive approach for …