Abnormalities Detection in Digital Mammography Using Template Matching
نویسنده
چکیده
Breast cancer affects 1 in 8 women in the United States. Early detection and diagnosis is key to recovery. ComputerAided Detection (CAD) of breast cancer helps decrease morbidity and mortality rates. In this study we apply Template Matching as a method for breast cancer detection to a novel data set comprised of mammograms annotated according to ground truth. Performance is evaluated in terms of Area Under the Receiver Operator Characteristic Curve (Area Under ROC) and Freeresponse ROC.
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تاریخ انتشار 2016