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

The incidence of retinopathy of prematurity (ROP) continues to rise due to the improved
survival of very low birth weight infants in developed countries. This epidemic is also fueled …

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

purpose. To examine the agreement of a novel computer program measuring retinal vessel
tortuosity with subjective assessment of tortuosity in school-aged children. methods. Cross …

Background Retinopathy of prematurity (ROP) is the leading cause of childhood blindness
worldwide. Automated ROP detection system is urgent and it appears to be a safe, reliable …

Accurate segmentation of retinal vessel from fundus image is a prerequisite for the computer-
aided diagnosis of ophthalmology diseases. In this paper, we propose a novel and robust …

This paper concerns the validation of automatic retinal image analysis (ARIA) algorithms.
For reasons of space and consistency, we concentrate on the validation of algorithms …

Artificial intelligence (AI) is a subset of computer science dealing with the development and
training of algorithms that try to replicate human intelligence. We report a clinical overview of …

Purpose: We developed and evaluated the performance of a novel computer-based image
analysis system for grading plus disease in retinopathy of prematurity (ROP), and identified …

Retinopathy of prematurity (ROP) is a leading cause of preventable vision loss in preterm
infants. While appropriate screening is crucial for early identification and treatment of ROP …