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This book provides a detailed assessment of the state of the art in
automated techniques for the analysis of digital mammogram images.
Topics covered include a variety of approaches for image processing
and pattern recognition aimed at assisting the physician in the
task of detecting tumors from evidence in mammogram images. The
chapters are written by recognized experts in the field and are
revised versions of papers selected from those presented at the
"First International Workshop on Mammogram Image Analysis" held in
San Jose as part of the 1993 Biomedical Image Processing
conference.
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