Paper Info
Title
On the Automatic Computation of the Arterio-Venous Ratio in Retinal Images: Using Minimal Paths for the Artery/Vein Classification
Abstract
Abnormalities in the retinal vessel tree are associated with different pathologies. Usually, they affect arteries and veins differently. In this regard, the arteriovenous ratio(AVR) is a measure of retinal vessel caliber, widely used in medicine to study the influence of these irregularities in disease evolution. Hence, the development of an automatic tool for AVR computation as well as any other tool for diagnosis support need an objective, reliable and fast artery/vein classifier. This paper proposes a technique to improve the retinal vessel classification in an AVR computation framework. The proposed methodology combines a color clustering strategy and a vessel tracking procedure based on minimal path approaches. The tests performed with 58 images manually labeled by three experts show promising results.
Year
DOI
Venue
2010
10.1109/DICTA.2010.106
DICTA
Keywords
Field
DocType
retinal vessel caliber,retinal vessel tree,arteriovenous ratio,different pathology,diagnosis support,avr computation framework,automatic tool,arterio-venous ratio,minimal paths,avr computation,retinal images,vein classification,vessel tracking procedure,automatic computation,retinal vessel classification,classifier,adaptive optics,classification,image segmentation,vein,diagnosis,optical imaging,image classification
Computer vision,Pattern recognition,Caliber,Computer science,Vein,Image segmentation,Artificial intelligence,Retinal,Contextual image classification,Classifier (linguistics),Cluster analysis,Computation
Conference
ISBN
Citations 
PageRank 
978-0-7695-4271-3
1
0.40
References 
Authors
10
6
Name
Order
Citations
PageRank
S. G. Vázquez1404.56
Brais Cancela2669.19
Noelia Barreira318217.47
Manuel G. Penedo428424.93
M. Saez510.40
Vázquez, S.G.610.40