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Mammographic mass segmentation: Embedding multiple features in vector-valued level set in ambiguous regions

文献类型：期刊论文

作者Wang, Ying1; Tao, Dacheng2; Gao, Xinbo1; Li, Xuelong3; Wang, Bin1
刊名pattern recognition
出版日期2011-09-01
卷号44期号:9页码:1903-1915
关键词Mass segmentation Computer-aided diagnose Vector-valued level set Relaxed shape constraint Mammograms
英文摘要mammographic mass segmentation plays an important role in computer-aided diagnosis systems. it is very challenging because masses are always of low contrast with ambiguous margins, connected with the normal tissues, and of various scales and complex shapes. to effectively detect true boundaries of mass regions, we propose a feature embedded vector-valued contour-based level set method with relaxed shape constraint.
WOS标题词science & technology ; technology
类目[WOS]computer science, artificial intelligence ; engineering, electrical & electronic
研究领域[WOS]computer science ; engineering
关键词[WOS]computer-aided diagnosis ; digital mammograms ; lesion segmentation ; image segmentation ; active contours ; tumor-detection ; breast-cancer ; classification ; gradient ; filter
收录类别SCI ; EI ; ISTP
语种英语
WOS记录号WOS:000291834800008
公开日期2015-10-06
源URL[http://ir.opt.ac.cn/handle/181661/25344]  
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.Xidian Univ, Sch Elect Engn, Xian, Peoples R China
2.Nanyang Technol Univ, Sch Comp Engn, Singapore, Singapore
3.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPTIMAL, Xian 710119, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Ying,Tao, Dacheng,Gao, Xinbo,et al. Mammographic mass segmentation: Embedding multiple features in vector-valued level set in ambiguous regions[J]. pattern recognition,2011,44(9):1903-1915.
APA Wang, Ying,Tao, Dacheng,Gao, Xinbo,Li, Xuelong,&Wang, Bin.(2011).Mammographic mass segmentation: Embedding multiple features in vector-valued level set in ambiguous regions.pattern recognition,44(9),1903-1915.
MLA Wang, Ying,et al."Mammographic mass segmentation: Embedding multiple features in vector-valued level set in ambiguous regions".pattern recognition 44.9(2011):1903-1915.

入库方式： OAI收割

来源：西安光学精密机械研究所

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