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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Abnormalities Detection in Digital Mammography Using Template Matching
Digital Object Identifier (DOI) : 10.14569/IJACSA.2016.070271
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 2, 2016.
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.
Keywords: Classification, Detection, Image Processing, Dig-ital Mammography, Breast Cancer, Computer Aided Detection (CAD), Template Matching.
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},
}
