TY  - BOOK
AU  - Mugahed Ali Shawqi Alantari
AU  - Yasser Mustafa Kadah , 
TI  - Computer - aided breast cancer detection and diagnosis from digital mammograms / 
PY  - 2015///
CY  - Cairo : 
PB  - Mugahed Ali Shawqi Alantari , 
KW  - Cohen - k factor
KW  - Computer aided detection
KW  - Peripheral equalization
N1  - Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering; Issued also as CD
N2  - 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
UR  - http://172.23.153.220/th.pdf
ER  -