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Automated breast cancer detection and classification using ultrasound images: A survey

Automated breast cancer detection and classification using ultrasound images: A survey Pattern Recognition 43 (2010) 299 -- 317 Contents lists available at ScienceDirect Pattern Recognition journal homepage: www.elsevier.com/locate/pr Automated breast cancer detection and classification using ultrasound images: Asurvey a,∗ a a a b H.D. Cheng ,JuanShan ,WenJu , Yanhui Guo , Ling Zhang Department of Computer Science, Utah State University, Logan, UT 84322, USA School of Mathematics and System Science, Shandong University, China ARTICLE INFO ABSTRACT Article history: Breast cancer is the second leading cause of death for women all over the world. Since the cause of the Received 9 September 2008 disease remains unknown, early detection and diagnosis is the key for breast cancer control, and it can Received in revised form 16 April 2009 increase the success of treatment, save lives and reduce cost. Ultrasound imaging is one of the most Accepted 14 May 2009 frequently used diagnosis tools to detect and classify abnormalities of the breast. In order to eliminate the operator dependency and improve the diagnostic accuracy, computer-aided diagnosis (CAD) system Keywords: CAD (computer-aided diagnosis) is a valuable and beneficial means for breast cancer detection and classification. Generally, a CAD system Automated breast cancer detection and consists of four stages: preprocessing, segmentation, feature extraction and selection, http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Pattern Recognition Unpaywall

Automated breast cancer detection and classification using ultrasound images: A survey

Cheng, H.D.; Shan, Juan; Ju, Wen; Guo, Yanhui; Zhang, Ling
Pattern Recognition – May 31, 2009
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Publisher
Unpaywall
ISSN
0031-3203
DOI
10.1016/j.patcog.2009.05.012
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Abstract

Pattern Recognition 43 (2010) 299 -- 317 Contents lists available at ScienceDirect Pattern Recognition journal homepage: www.elsevier.com/locate/pr Automated breast cancer detection and classification using ultrasound images: Asurvey a,∗ a a a b H.D. Cheng ,JuanShan ,WenJu , Yanhui Guo , Ling Zhang Department of Computer Science, Utah State University, Logan, UT 84322, USA School of Mathematics and System Science, Shandong University, China ARTICLE INFO ABSTRACT Article history: Breast cancer is the second leading cause of death for women all over the world. Since the cause of the Received 9 September 2008 disease remains unknown, early detection and diagnosis is the key for breast cancer control, and it can Received in revised form 16 April 2009 increase the success of treatment, save lives and reduce cost. Ultrasound imaging is one of the most Accepted 14 May 2009 frequently used diagnosis tools to detect and classify abnormalities of the breast. In order to eliminate the operator dependency and improve the diagnostic accuracy, computer-aided diagnosis (CAD) system Keywords: CAD (computer-aided diagnosis) is a valuable and beneficial means for breast cancer detection and classification. Generally, a CAD system Automated breast cancer detection and consists of four stages: preprocessing, segmentation, feature extraction and selection,

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Pattern Recognition – Unpaywall

Published: May 31, 2009

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