@article{(Open Science Index):https://publications.waset.org/pdf/10008417,
	  title     = {Investigation of Wave Atom Sub-Bands via Breast Cancer Classification},
	  author    = {Nebi Gedik and  Ayten Atasoy},
	  country	= {},
	  institution	= {},
	  abstract     = {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.
},
	    journal   = {International Journal of Biomedical and Biological Engineering},
	  volume    = {11},
	  number    = {9},
	  year      = {2017},
	  pages     = {552 - 557},
	  ee        = {https://publications.waset.org/pdf/10008417},
	  url   	= {https://publications.waset.org/vol/129},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 129, 2017},
	}