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ARTERY/VEIN CLASSIFICATION IN FUNDUS IMAGES USING CNN AND LIKELIHOOD SCORE PROPAGATION

Abstract: 

Artery/vein classification in fundus images is a prerequisite for the assessment of diseases such as diabetes, hypertension or other cardiovascular pathologies. One clinical measure used to assess the severity of cardiovascular risk is the retinal arterio-venous ratio (AVR), which significantly depends on the accuracy of vessel classification into arteries or veins. This paper proposes a novel method for artery/vein classification combining deep learning and graph propagation strategies. First, a convolutional neural network (CNN) is trained for the task of labeling vessel pixels into arteries or veins. A graph is then constructed from the retinal vascular network. The nodes are defined as the vessel branches and each edge gets associated to a cost evaluating if the two branches should have the same label. The CNN’s artery/vein classification is efficiently propagated through the minimum spanning tree of the graph. We validated our method on two publicly available databases. Our method achieves an accuracy of 93.3% on the DRIVE

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Paper Details

Authors:
Fantin Girard, Farida Cheriet
Submitted On:
11 November 2017 - 10:33am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Fantin Girard
Paper Code:
1329

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GlobalSIP 2017 slides

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[1] Fantin Girard, Farida Cheriet, "ARTERY/VEIN CLASSIFICATION IN FUNDUS IMAGES USING CNN AND LIKELIHOOD SCORE PROPAGATION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2307. Accessed: Jan. 22, 2018.
@article{2307-17,
url = {http://sigport.org/2307},
author = {Fantin Girard; Farida Cheriet },
publisher = {IEEE SigPort},
title = {ARTERY/VEIN CLASSIFICATION IN FUNDUS IMAGES USING CNN AND LIKELIHOOD SCORE PROPAGATION},
year = {2017} }
TY - EJOUR
T1 - ARTERY/VEIN CLASSIFICATION IN FUNDUS IMAGES USING CNN AND LIKELIHOOD SCORE PROPAGATION
AU - Fantin Girard; Farida Cheriet
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2307
ER -
Fantin Girard, Farida Cheriet. (2017). ARTERY/VEIN CLASSIFICATION IN FUNDUS IMAGES USING CNN AND LIKELIHOOD SCORE PROPAGATION. IEEE SigPort. http://sigport.org/2307
Fantin Girard, Farida Cheriet, 2017. ARTERY/VEIN CLASSIFICATION IN FUNDUS IMAGES USING CNN AND LIKELIHOOD SCORE PROPAGATION. Available at: http://sigport.org/2307.
Fantin Girard, Farida Cheriet. (2017). "ARTERY/VEIN CLASSIFICATION IN FUNDUS IMAGES USING CNN AND LIKELIHOOD SCORE PROPAGATION." Web.
1. Fantin Girard, Farida Cheriet. ARTERY/VEIN CLASSIFICATION IN FUNDUS IMAGES USING CNN AND LIKELIHOOD SCORE PROPAGATION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2307