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.
|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|
|Number of pages||22|
|Publication status||Published - 2006|
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.