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

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2010 English Publisher:Elsevier BVJournal:Pattern Recognition, volume 43, pages 299-317 (issn: 0031-3203,

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Authors: Heng-Da Cheng; Juan Shan; Wen Ju; Yanhui Guo; Ling Zhang;

doi: 10.1016/j.patcog.2009.05.012 , 10.5281/zenodo.34780

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

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Abstract

Breast cancer is the second leading cause of death for women all over the world. Since the cause of the disease remains unknown,early detection and diagnos is is the key for breast cancer control,and it can increase the success of treatment,save lives and reduce cost.

Related Organizations

Utah State University
United States
Shandong Women’s University
China (People's Republic of)

Keywords

feature extraction and selection, Computing methodologies and applications, Pattern recognition, speech recognition, classifiers, Automated breast cancer detection and classification, ultrasound imaging, Ultrasound (US)imaging, CAD, computer-aided diagnosis, automated breast cancer detection and classification

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