Paper Info
Title
Enhancing Vessel Visibility In Fundus Images To Aid The Diagnosis Of Retinopathy Of Prematurity
Abstract
Retinopathy of prematurity is a disease that can affect premature or in similar conditions babies. For diagnosing of retinopathy of prematurity, the infant is examined as soon as possible. Due to the nature of the examination, the images obtained are poor in quality. This article presents an automated method for processing fundus images to improve the visibility of the vascular network. The method includes several processing tasks whose parameters are predicted using an artificial neural network. A set of 88 clinical images were used in this work. The performance of our proposal is efficient, and the average processing time was 42 ms. The method was assessed using both the contrast improvement index and expert opinions. The contrast improvement index average was 2; this means the processed image successfully improved its contrast. Three pediatric ophthalmologists validated the proposed method and agreed that the visual enhancement can help observe clearly the retinal vessels.
Year
DOI
Venue
2020
10.1177/1460458220935369
HEALTH INFORMATICS JOURNAL
Keywords
DocType
Volume
artificial neural network, fundus enhancement, medical image processing, retinopathy of prematurity
Journal
26
Issue
ISSN
Citations 
4
1460-4582
1
PageRank 
References 
Authors
0.37
0
4
Name
Order
Citations
PageRank
Monserrate Intriago-Pazmino110.37
Julio Ibarra-Fiallo232.46
José Crespo310.37
Raúl Alonso-Calvo410714.64