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Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches (The MICCAI Society book Series) - Hardcover
Synopsis
This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image.
Written by top experts in Medical Imaging, this book is ideal for university researchers and industry practitioners...
About the Author
S. Kevin Zhou, PhD is dedicated to research on medical image computing, especially analysis and reconstruction, and its applications in real practices. Currently, he is a Distinguished Professor and Founding Executive Dean of School of Biomedical Engineering, University of Science and Technology of China (USTC) and directs the Center for Medical Imaging, Robotics, Analytic Computing and Learning (MIRACLE). Dr. Zhou was a Principal Expert and a Senior...
From the Back Cover
This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image.
Written by top experts in Medical Imaging, this book is ideal for university researchers...
"About this title" may belong to another edition of this title.
- PublisherAcademic Press
- Publication date2015
- ISBN 10 0128025816
- ISBN 13 9780128025819
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages542
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Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches (The MICCAI Society book Series)
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Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches
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Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches (The Elsevier and Miccai Society Book Series)
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Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches
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Medical Image Recognition, Segmentation and Parsing
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ISBN 10: 0128025816
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image. Written by top experts in Medical Imaging, this book is ideal for university researchers and industry practitioners in medical imaging who want a complete reference on key methods, algorithms and applications in medical image recognition, segmentation and parsing of multiple objects. Learn: Research challenges and problems in medical image recognition, segmentation and parsing of multiple objects Methods and theories for medical image recognition, segmentation and parsing of multiple objects Efficient and effective machine learning solutions based on big datasets Selected applications of medical image parsing using proven algorithms 542 pp. Englisch. Seller Inventory # 9780128025819
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Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches
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Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches (The Elsevier and Miccai Society Book Series)
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Medical Image Recognition, Segmentation and Parsing : Machine Learning and Multiple Object Approaches
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image. Written by top experts in Medical Imaging, this book is ideal for university researchers and industry practitioners in medical imaging who want a complete reference on key methods, algorithms and applications in medical image recognition, segmentation and parsing of multiple objects. Learn: Research challenges and problems in medical image recognition, segmentation and parsing of multiple objects Methods and theories for medical image recognition, segmentation and parsing of multiple objects Efficient and effective machine learning solutions based on big datasets Selected applications of medical image parsing using proven algorithms. Seller Inventory # 9780128025819
Quantity: 2 available