%0 Journal Article
	%A Nebi Gedik and  Ayten Atasoy
	%D 2017
	%J International Journal of Biomedical and Biological Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 129, 2017
	%T Investigation of Wave Atom Sub-Bands via Breast Cancer Classification
	%U https://publications.waset.org/pdf/10008417
	%V 129
	%X This paper investigates successful sub-bands of wave atom transform via classification of mammograms, when the coefficients of sub-bands are used as features. A computer-aided diagnosis system is constructed by using wave atom transform, support vector machine and k-nearest neighbor classifiers. Two-class classification is studied in detail using two data sets, separately. The successful sub-bands are determined according to the accuracy rates, coefficient numbers, and sensitivity rates.

	%P 552 - 557