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Breast cancer is a leading cause of cancer type for death among women in most of popular countries, breast cancer detection is important and challenging role in worldwide to save women's life. Due to inexperience to detect cancer, the doctors and radio logistic can miss the abnormality, which leads to death. Mammography is the most used method for breast(More)
This paper presents a method for the detection of the regions of interest's (ROIs) in mammograms by using dynamic k-means clustering algorithm. In this approach, a method has been developed to determine the initialization number of clusters in mammograms by using a data mining algorithm based on the Local Binary Pattern (LBP) and co-occurrence matrix(More)
Breast mass segmentation in mammography plays a crucial role in Computer-Aided Diagnosis (CAD) systems. We propose in this work a method for the segmentation of mammography images by using a combination of two approaches: one based on levels set theory and the other based on the principle of the minimization of the energy of active contours. The elaborated(More)
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