Classification of Mammogram Using Wave Atom Transform and Support Vector Machine Classifier

A Rajesh, Dr, Mohan Ellappan
unpublished
The most common type of cancer seen women is breast cancer. To improve from this severe disease, monitoring and early detection must be provided and related safety measures must be taken as the first step. During diagnosis, some of the cases may be overlooked depending on fatigue and eyestrain, because determination of abnormalities is a repetitive procedure. In this study, a Computer Aided Diagnosis (CAD) system, using wave atom transform (WAT) algorithm and Support Vector Machine (SVM), is
more » ... achine (SVM), is proposed to evaluate mammography images. During the process, the region of interest is defined before applying the method. The system includes a feature extraction approach based on WAT algorithm. In terms of classification, the process has two main stages as classification of normal-abnormal regions and malignant-benign ones.
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