Abstract: Breast cancer affects 1 in 8 women in the United States. Early detection and diagnosis is key to recovery. Computer-Aided 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 Free-response ROC.

Ahmed M. Farrag, “Abnormalities Detection in Digital Mammography Using Template Matching” International Journal of Advanced Computer Science and Applications(IJACSA), 7(2), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070271

@article{Farrag2016,
title = {Abnormalities Detection in Digital Mammography Using Template Matching},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070271},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070271},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {2},
author = {Ahmed M. Farrag}
}