@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}, }