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Handbook of Medical Image Computing and Computer Assisted Intervention
Daniel Rueckert , Gabor Fichtinger , S. Kevin Zhou
Computers / Artificial Intelligence / Computer Vision & Pattern Recognition
Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and computer assisted intervention.
- Presents the key research challenges in medical image computing and computer-assisted intervention
- Written by leading authorities of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society
- Contains state-of-the-art technical approaches to key challenges
- Demonstrates proven algorithms for a whole range of essential medical imaging applications
- Includes source codes for use in a plug-and-play manner
- Embraces future directions in the fields of medical image computing and computer-assisted intervention
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