A hybrid approach based on genetic algorithms in conjunction with statistical methods for the diagnosis of breast cancer

Brijesh Verma, Ping Zhang, Kuldeep Kumar

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

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 has been investigated and presented. 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.
Original languageEnglish
Title of host publicationAdvanced computational methods for biocomputing and bioimaging
EditorsT Pham, H Yan, D Crane
Place of PublicationNew York
PublisherNova Science Publishers
Pages167-188
Number of pages22
ISBN (Print)9781600212789
Publication statusPublished - 2006

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    Verma, B., Zhang, P., & Kumar, K. (2006). A hybrid approach based on genetic algorithms in conjunction with statistical methods for the diagnosis of breast cancer. In T. Pham, H. Yan, & D. Crane (Eds.), Advanced computational methods for biocomputing and bioimaging (pp. 167-188). New York : Nova Science Publishers.