NDLI: Effective multiple classifier systems for breast thermogram analysis

Content Provider	IEEE Xplore Digital Library
Author	Krawczyk, B. Schaefer, G.
Copyright Year	2012
Description	Author affiliation: Department of Systems and Computer Networks, Wroclaw University of Technology, Poland (Krawczyk, B.) \|\| Department of Computer Science, Loughborough University, U.K. (Schaefer, G.)
Abstract	Breast cancer is the most commonly diagnosed form of cancer in women. Thermography, which uses cameras with sensitivities in the thermal infrared, has been shown to provide an interesting modality for detecting breast cancer as it is able to detect small tumors and hence can lead to earlier diagnosis. In this paper, we present an effective approach to breast thermogram analysis that utilises features describing bilateral symmetries from an image, and utilises a classifier ensemble for decision making. Importantly, our classification approach addresses the problem of imbalanced class distribution that is common in medical decision making. We do this by constructing feature subspaces from balanced data subsets and train different classifiers on different subspaces. To combine the individual classifiers, we use a neural network as classifier fuser. We show our approach to work well and to lead to significantly improved performance compared to canonical classifiers and classifier ensembles.
Starting Page	3345
Ending Page	3348
File Size	120683
Page Count	4
File Format	PDF
ISBN	9781467322164
ISSN	10514651
e-ISBN	9784990644109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	ICPR Org Committee
Subject Keyword	Breast cancer Neural networks Accuracy Sensitivity Biomedical imaging
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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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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