Liver Segmentation Based on Snakes Model and Improved GrowCut Algorithm in Abdominal CT Image
Joint Authors
He, Baochun
Zhou, Xiangrong
Ma, Zhiyuan
Fujita, Hiroshi
Zong, Mao
Jiang, Huiyan
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-26
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
A novel method based on Snakes Model and GrowCut algorithm is proposed to segment liver region in abdominal CT images.
First, according to the traditional GrowCut method, a pretreatment process using K-means algorithm is conducted to reduce the running time.
Then, the segmentation result of our improved GrowCut approach is used as an initial contour for the future precise segmentation based on Snakes model.
At last, several experiments are carried out to demonstrate the performance of our proposed approach and some comparisons are conducted between the traditional GrowCut algorithm.
Experimental results show that the improved approach not only has a better robustness and precision but also is more efficient than the traditional GrowCut method.
American Psychological Association (APA)
Jiang, Huiyan& He, Baochun& Ma, Zhiyuan& Zong, Mao& Zhou, Xiangrong& Fujita, Hiroshi. 2013. Liver Segmentation Based on Snakes Model and Improved GrowCut Algorithm in Abdominal CT Image. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-511436
Modern Language Association (MLA)
Jiang, Huiyan…[et al.]. Liver Segmentation Based on Snakes Model and Improved GrowCut Algorithm in Abdominal CT Image. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-511436
American Medical Association (AMA)
Jiang, Huiyan& He, Baochun& Ma, Zhiyuan& Zong, Mao& Zhou, Xiangrong& Fujita, Hiroshi. Liver Segmentation Based on Snakes Model and Improved GrowCut Algorithm in Abdominal CT Image. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-511436
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511436