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Comparison of Feature Extraction Methods for Breast Cancer Detection

2005; Springer Science+Business Media; Linguagem: Inglês

10.1007/11492542_61

1611-3349

Rafael Llobet, Roberto Paredes, Juan-Carlos Pérez-Cortés,

Advanced Image and Video Retrieval Techniques

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.