Mugahed Ali Shawqi Alantari <br/><br/>
Computer - aided breast cancer detection and diagnosis from digital mammograms /  
 كشف و تشخيص سرطان الثدى بمساعدة الحاسوب من صور أشعة الثدى الرقمية 
Mugahed Ali Shawqi Alantari ; Supervised Yasser M. Kadah 
 - Cairo :   Mugahed Ali Shawqi Alantari ,   2015 
 - 97 P. :   plans ;   30cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering 
<br/><br/> 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 radiologists 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 
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<br/><br/><label>Subjects--Index Terms: </label>Cohen - k factor Computer aided detection Peripheral equalization