NDLI: Exploiting rotation invariance with SVM classifier for microcalcification detection

Content Provider	IEEE Xplore Digital Library
Author	Yan Yang Juan Wang Yongyi Yang
Copyright Year	2012
Description	Author affiliation: Department of Electrical and Computer Engineering, Illinois Institute of Technology 3301 S. Dearborn Street, Chicago, IL 60616, USA (Yan Yang; Juan Wang; Yongyi Yang)
Abstract	In previous work we developed a support vector machine (SVM) approach for detection of microcalcifications (MCs) in mammogram images, which was demonstrated to outperform several existing methods for MC detection in the literature. In this work, we explore whether we can further improve the performance of the SVM detector by exploiting the fact that MCs are inherently invariant to their spatial orientation in a mammogram image. We consider two different techniques for incorporating invariance into SVM, of which one is virtual support vector SVM (VSVM) and the other is tangent vector SVM (TV-SVM). In the experiments these techniques were tested on a database of 200 mammograms containing a total of 5,211 MCs. The results show that both techniques can improve the performance in discriminating MCs from the image background, and TV-SVM achieved the best performance.
Starting Page	590
Ending Page	593
File Size	263072
Page Count	4
File Format	PDF
ISBN	9781457718571
ISSN	19457928
e-ISBN	9781457718588
DOI	10.1109/ISBI.2012.6235617
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-02
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Kernel Detectors Support vector machine classification Vectors Cancer tangent vector SVM Computer-aided diagnosis (CAD) support vector machine (SVM) virtual support vector SVM
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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