Pattern Recognition and Signal Analysis in Medical Imaging
Anke Meyer-Baese (Department of Scientific Computing, Florida State University, USA),Volker J Schmid (Department of Statistics, Ludwig-Maximilians-University, Munich, Germany),Anke Meyer-Baese (Department of Scientific Computing, Florida State University, USA),Anke Meyer-Baese (Department of Scientific Computing, Florida State University, USA),Volker J. Schmid (Department of Statistics, Ludwig-Maximilians-University, Munich, Germany)
Pattern Recognition and Signal Analysis in Medical Imaging
Anke Meyer-Baese (Department of Scientific Computing, Florida State University, USA),Volker J Schmid (Department of Statistics, Ludwig-Maximilians-University, Munich, Germany),Anke Meyer-Baese (Department of Scientific Computing, Florida State University, USA),Anke Meyer-Baese (Department of Scientific Computing, Florida State University, USA),Volker J. Schmid (Department of Statistics, Ludwig-Maximilians-University, Munich, Germany)
Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant data.
Since the first edition, there has been tremendous development of new, powerful technologies for detecting, storing, transmitting, analyzing, and displaying medical images. Computer-aided analytical techniques, coupled with a continuing need to derive more information from medical images, has led to a growing application of digital processing techniques in cancer detection as well as elsewhere in medicine.
This book is an essential tool for students and professionals, compiling and explaining proven and cutting-edge methods in pattern recognition for medical imaging.
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