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Abstract
Breast cancer is the uncontrolled growth of abnormal cells that start in the breast. It was and still the most common cancer diagnosed in women worldwide. Mammography has been successful in improving detection of cancer in early stage, and it continues to be the standard screening tool for breast cancer detection resulting in at least a 30% reduction in breast cancer deaths. Computer-aided diagnosis (CAD) is a system that uses the output of mammography systems to help the radiologist{u2019}s decision. It has been defined as an equivalent diagnosis that was made by a radiologist who uses the output of a computer analysis of the images when making his/her interpretation. In this thesis, computer - aided detection (CADe) and Computer - aided diagnosis (CADx) systems have been developed and applied to the standard MIAS and DDSM databases to distinguish between the different regions of breast tissues