Evaluation of Binarization Algorithms in Preprocessing of Digital Mammographies

B. Tene; D.C. Puchianu; Nicoleta Angelescu

doi:10.1515/sbeef-2016-0020

Abstract

Digital mammograms are a useful tool for breast cancer detection. The quality of digital mammogram image can have a negative effect on the computer-aided diagnosis system. We investigate the use of automatic image thresholding methods for microcalcification detection in mammographic images. Experimental results on the BI-RADS 4 images dataset confirm the proposed approach.

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Evaluation of Binarization Algorithms in Preprocessing of Digital Mammographies

Abstract

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