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Investigation of Wave Atom Sub-Bands via Breast Cancer Classification

Authors: Nebi Gedik, Ayten Atasoy


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.

Keywords: Breast Cancer, SVM, k-NN, wave atom transform

Digital Object Identifier (DOI):

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