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The identification and interpretation of the signs of breast cancer in mammographic images from screening programs can be very difficult due to the subtle and diversified appearance of breast disease. This book presents new image processing and pattern recognition techniques for computer-aided detection and diagnosis of breast cancer in its various forms. The main goals are: (1) the identification of bilateral asymmetry as an early sign of breast disease which is not detectable by other existing approaches; and (2) the detection and classification of masses and regions of architectural...

The focus of this work is on the implication and applications of CAD (Computer-Aided-Diagnosis) as it relates via medical image analysis to body parts and disease. It details the range and scope of CAD - from head to toe. The chapters are written by world class researchers with a particular interest in CAD. Thus it will be of importance to a wide variety researchers in medical physics, bioengineering and computer science.