Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches (The MICCAI Society book Series) - Hardcover

Zhou, S. Kevin

Hardcover

ISBN 10: 0128025816 ISBN 13: 9780128025819

Publisher: Academic Press, 2015

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 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 * Provides a comprehensive overview of state-of-the-art research on medical image recognition, segmentation, and parsing of multiple objects* Presents efficient and effective approaches based on machine learning paradigms to leverage the anatomical context in the medical images, best exemplified by large datasets* Includes algorithms for recognizing and parsing of known anatomies for practical applications

About this title

Review

Learn and apply methods and algorithms for automatically recognizing, segmenting and parsing multiple objects

About the Author

S. Kevin Zhou, Ph.D. is currently a Principal Key Expert Scientist at Siemens Healthcare Technology Center, leading a team of full time research scientists and students dedicated to researching and developing innovative solutions for medical and industrial imaging products. His research interests lie in computer vision and machine/deep learning and their applications to medical image analysis, face recognition and modeling, etc. He has published over 150 book chapters and peer-reviewed journal and conference papers, registered over 250 patents and inventions, written two research monographs, and edited three books. He has won multiple technology, patent and product awards, including R&D 100 Award and Siemens Inventor of the Year. He is an editorial board member for Medical Image Analysis journal and a fellow of American Institute of Medical and Biological Engineering (AIMBE).

Edition details

• Publisher: Academic Press
• Publication date: 2015
• ISBN 10: 0128025816
• ISBN 13: 9780128025819
• Binding: Hardcover
• Language: English
• Number of pages: 542