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Contribution to Book
A Hybrid Approach Based on Genetic Algorithms in Conjunction with Statistical Methods for the Diagnosis of Breast Cancer
Advanced Computational Methods for Biocomputing and Bioimaging (2006)
  • Brijesh Verma
  • Ping Zhang, University of Queensland
  • Kuldeep Kumar, Bond University
Abstract

This chapter reviews and presents genetic algorithms and statistical methods based approach for early detection and classification of breast cancer using digital mammography. A feature selection using genetic algorithms and statistical methods have been combined and a hybrid system has been developed and tested on a benchmark database. A comparative analysis of the results is included in this chapter.

Publication Date
December 1, 2006
Editor
Pham, Tuan D., Yan, Hong and Crane, Denis I.
Publisher
Nova Science Publishers
Publisher Statement
Verma, Brijesh, Zhang, Ping and Kumar, Kuldeep (2006) A Hybrid Approach Based on Genetic Algorithms in Conjunction with Statistical Methods for the Diagnosis of Breast Cancer is a book chapter found in Advanced Computational Methods for Biocomputing and Bioimaging, Pham, Tuan D., Yan, Hong and Crane, Denis I. editors, Nova Science Publishers, 2006, New York.
To obtain a copy of this book contact Nova Science Publishers

2006 HERDC submission
Citation Information
Brijesh Verma, Ping Zhang and Kuldeep Kumar. "A Hybrid Approach Based on Genetic Algorithms in Conjunction with Statistical Methods for the Diagnosis of Breast Cancer" New YorkAdvanced Computational Methods for Biocomputing and Bioimaging (2006)
Available at: http://works.bepress.com/ping_zhang/3/