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Breast cancer is a major health problem and continues to be the primary cause of death among women all over the world. Screening mammography is recognized the most effective method for its early detection. since reading mammograms is an error-prone and time-consume task, a number of computer-aided detection and diagnosis (CAD) systems have been developed to aid the radiologists in the complex work...
Accurate image segmentation for breast lesions is a critical step in computer-aided diagnosis systems. The objective of this study was to develop a robust method for the automatic segmentation of breast masses on mammograms to extract feasible features for computer-aided diagnosis systems.The data set used in this study consisted of 483 regions of interest extracted from 328 patients. A hybrid method...
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