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学科主题: 临床医学
题名:
Texton analysis for mass classification in mammograms
作者: Li, Yanfeng1,2; Chen, Houjin1; Rohde, Gustavo Kunde2; Yao, Chang1; Cheng, Lin3
关键词: Breast cancer ; Mammogram ; Mass classification ; Subsampling strategy ; Texton
刊名: PATTERN RECOGNITION LETTERS
发表日期: 2015-01-15
DOI: 10.1016/j.patrec.2014.10.008
卷: 52, 页:87-93
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Computer Science, Artificial Intelligence
研究领域[WOS]: Computer Science
关键词[WOS]: BREAST-TUMORS ; CONTOURS ; SHAPE
英文摘要:

In this paper, a novel method is proposed to classify masses as benign or malignant in mammograms without segmenting the contour of each mass. This method combines the scheme of texton analysis with multiple subsampling strategies. Before performing texton-based classification, intensity and rotation normalization are applied. Then subsampling strategies with either uniform or non-uniform intervals are generated and a k-nearest-neighbor (KNN) classifier is trained for each subsampling strategy. Every subsampling strategy captures one discriminating structure. To take advantage of all possible discriminating structures, the final classification result is obtained by performing majority voting over all subsampling strategies. The proposed method is tested on 114 mass regions from Digital Database for Screening Mammography (DDSM) database. The classification accuracy rate reaches 85.96%, which is higher than some existing texture-based methods.(C) 2014 Elsevier B.V. All rights reserved

语种: 英语
所属项目编号: 61271305 ; 61201363 ; 20110009110001
项目资助者: National Natural Science Foundation of China ; National Research Foundation for the Doctoral Program of Ministry of Education of China
WOS记录号: WOS:000345697400013
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/67866
Appears in Collections:北京大学第二临床医学院_期刊论文

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作者单位: 1.Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
2.Carnegie Mellon Univ, Ctr Bioimage Informat, Dept Biomed Engn, Pittsburgh, PA 15213 USA
3.Peking Univ, Peoples Hosp, Ctr Breast, Beijing 100044, Peoples R China

Recommended Citation:
Li, Yanfeng,Chen, Houjin,Rohde, Gustavo Kunde,et al. Texton analysis for mass classification in mammograms[J]. PATTERN RECOGNITION LETTERS,2015,52:87-93.
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