Classification of Normal and Abnormal Mammograms Based on Discrete Wavelet Transform and Support Vector Machine
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چکیده
Nowadays computer aided design / diagnosis plays a vital role in detection of breast cancer. This paper deals with an intelligent diagnosis system based on wavelet analysis and principle component analysis. Support vector machine classifi er is used to classify mammograms as either normal or abnormal. Abnormal mammograms are those which include mammograms containing masses and microcalcifi cations. The effectiveness of this paper is examined on MIAS (Mammogram Image Analysis Society) database using accuracy, specifi city, sensitivity and Mathew’s correlation co-effi cient.
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تاریخ انتشار 2016