Although screening mammography is widely used for the detection of breast tumors, it is difficult for a radiologist to interpret correctly a mammogram. It is possible to improve this task by using a computer aided diagnosis system (CAD) which highlights the areas most likely to contain cancer cells. In this paper, we present and compare five different feature extraction methods for breast cancer detection in digitized mammograms. All the methods are based on features extracted from a local window and on a k-nearest neighbor classifier with fast search. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Llobet, R., Paredes, R., & Pérez-Cortés, J. C. (2005). Comparison of feature extraction methods for breast cancer detection. In Lecture Notes in Computer Science (Vol. 3523, pp. 495–502). Springer Verlag. https://doi.org/10.1007/11492542_61
Mendeley helps you to discover research relevant for your work.