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BioMed Research International
Volume 2017, Article ID 9157341, 18 pages
https://doi.org/10.1155/2017/9157341
Research Article

A Novel Segmentation Approach Combining Region- and Edge-Based Information for Ultrasound Images

1School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China
2Department of Ultrasound, The Cancer Center of Sun Yat-sen University, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong, China
3College of Information Engineering, Shenzhen University, Shenzhen 518060, China
4Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, Shaanxi 710119, China

Correspondence should be addressed to Qinghua Huang; nc.ude.tucs@gnauhhq

Received 9 September 2016; Revised 21 January 2017; Accepted 14 March 2017; Published 27 April 2017

Academic Editor: Cristiana Corsi

Copyright © 2017 Yaozhong Luo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Yaozhong Luo, Longzhong Liu, Qinghua Huang, and Xuelong Li, “A Novel Segmentation Approach Combining Region- and Edge-Based Information for Ultrasound Images,” BioMed Research International, vol. 2017, Article ID 9157341, 18 pages, 2017. https://doi.org/10.1155/2017/9157341.