Retinal Vascular Network Topology Reconstruction and Artery/Vein Classification via Dominant Set Clustering

The estimation of vascular network topology in complex networks is important in understanding the relationship between vascular changes and a wide spectrum of diseases. Automatic classification of the retinal vascular trees into arteries and veins is of direct assistance to the ophthalmologist in te...

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Veröffentlicht in:	IEEE transactions on medical imaging Jg. 39; H. 2; S. 341 - 356
Hauptverfasser:	Zhao, Yitian, Xie, Jianyang, Zhang, Huaizhong, Zheng, Yalin, Zhao, Yifan, Qi, Hong, Zhao, Yangchun, Su, Pan, Liu, Jiang, Liu, Yonghuai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.02.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Annotations Arteries Artery/vein classification Biomedical imaging blood vessel Blood vessels Classification Cluster Analysis Clustering Color vision Databases, Factual dominant set clustering Entropy Euclidean geometry Eye diseases Eye Diseases - diagnostic imaging Fundus Oculi Humans Image classification Image processing Image Processing, Computer-Assisted - methods Image reconstruction Image segmentation Mathematical morphology Medical imaging Medical treatment Network topologies Network topology Public access Retina Retinal Artery - diagnostic imaging Retinal images Retinal Vein - diagnostic imaging Topology vascular topology Veins Veins & arteries
ISSN:	0278-0062, 1558-254X, 1558-254X
Online-Zugang:	Volltext
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