Saliency driven vasculature segmentation with infinite perimeter active contour model-Reference-Cited by-同舟云学术

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Saliency driven vasculature segmentation with infinite perimeter active contour model

Published:2017-10 Issue: Volume:259 Page:201-209
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Zhao Yitian,Zhao Jingliang,Yang Jian,Liu Yonghuai,Zhao Yifan,Zheng Yalin,Xia Likun,Wang Yongtian

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference52 articles.

1. Blood vessel segmentation methodologies in retinal images – a survey;Fraz;Comput. Meth. Prog. Bio.,2012

2. A review of vessel extraction techniques and algorithms;Kirbas;ACM Comput. Surv.,2004

3. A review of 3D vessel lumen segmentation techniques: models, features and extraction schemes;Lesagea;Med. Image Anal.,2009

4. FABC: retinal vessel segmentation using AdaBoost;Lupascu;IEEE Trans. Inf. Technol. Biomed.,2010

5. A new supervised method for blood vessel segmentation in retinal images by using gray-level and moment invariants-based features;Marin;IEEE Trans. Med. Imaging,2011

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