Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis
	Huang, Qinghua 1; Yang, Feibin 1; Liu, Longzhong 2; Li, Xuelong3
刊名	information sciences
	2015-09-01
卷号	314 页码:293-310
关键词	Automatic interaction Image segmentation Object recognition Ultrasound
ISSN号	0020-0255
英文摘要	breast cancer is one of the most commonly diagnosed cancer types among women. sonography has been regarded as an important imaging modality for diagnosis of breast lesions. due to the speckle and the variance in shape and appearance of sonographic lesions, fully automatic segmentation of the breast tumor regions still remains a challenging task. in this paper, we propose an automatic interaction scheme based on an object recognition method to segment the lesions in breast ultrasound images. in this scheme, a 2d ultrasound image is firstly filtered with a total-variation model to reduce the speckle noise. a robust graphbased segmentation method is then used to segment the image into a number of subregions. an object recognition method incorporating the procedures of image feature extraction, feature selection and classification is proposed to automatically identify the regions which are associated with breast tumors. finally, an active contour model is used to refine the contours of the regions that are recognized as tumors. this scheme is validated on a database of 46 breast ultrasound images with diagnosed tumors. the experimental results show that our scheme can segment the breast ultrasound images automatically, indicating its good performance in real applitations. (c) 2014 elsevier inc. all rights reserved.
WOS标题词	science & technology ; technology
类目[WOS]	computer science, information systems
研究领域[WOS]	computer science
关键词[WOS]	graph-based segmentation ; active contour model ; image segmentation ; level set ; classification ; cancer ; features ; statistics ; algorithms ; nodules
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000355050200019
公开日期	2015-03-18
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/22389]
专题	西安光学精密机械研究所_光学影像学习与分析中心
作者单位	1.S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510641, Guangdong, Peoples R China 2.Sun Yat Sen Univ, Ctr Canc, Guangzhou, Guangdong, Peoples R China 3.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Huang, Qinghua,Yang, Feibin,Liu, Longzhong,et al. Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis[J]. information sciences,2015,314:293-310.
APA	Huang, Qinghua,Yang, Feibin,Liu, Longzhong,&Li, Xuelong.(2015).Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis.information sciences,314,293-310.
MLA	Huang, Qinghua,et al."Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis".information sciences 314(2015):293-310.