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

Brijesh Verma; Ping Zhang; Kuldeep Kumar

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

Brijesh Verma, Ping Zhang, Kuldeep Kumar

Bond Business School

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-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 language	English
Title of host publication	Advanced computational methods for biocomputing and bioimaging
Editors	T Pham, H Yan, D Crane
Place of Publication	New York
Publisher	Nova Science Publishers
Pages	167-188
Number of pages	22
ISBN (Print)	9781600212789
Publication status	Published - 2006

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Cite this

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

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.",

author = "Brijesh Verma and Ping Zhang and Kuldeep Kumar",

year = "2006",

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A hybrid approach based on genetic algorithms in conjunction with statistical methods for the diagnosis of breast cancer. / Verma, Brijesh; Zhang, Ping; Kumar, Kuldeep.
Advanced computational methods for biocomputing and bioimaging. ed. / T Pham; H Yan; D Crane. New York : Nova Science Publishers, 2006. p. 167-188.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review

TY - CHAP

T1 - A hybrid approach based on genetic algorithms in conjunction with statistical methods for the diagnosis of breast cancer

AU - Verma, Brijesh

AU - Zhang, Ping

AU - Kumar, Kuldeep

PY - 2006

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N2 - 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.

AB - 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.

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M3 - Chapter

SN - 9781600212789

SP - 167

EP - 188

BT - Advanced computational methods for biocomputing and bioimaging

A2 - Pham, T

A2 - Yan, H

A2 - Crane, D

PB - Nova Science Publishers

CY - New York

ER -

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

Abstract

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