Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches - Couverture rigide

Zhou, S. Kevin

Couverture rigide

ISBN 10 : 0128025816 ISBN 13 : 9780128025819

Editeur : Academic Press Inc, 2015

A propos du livre

Présentation de l'éditeur

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

Biographie de l'auteur

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).

Détails de l'édition

• Éditeur: Academic Press Inc
• Date d'édition: 2015
• ISBN 10: 0128025816
• ISBN 13: 9780128025819
• Reliure: Relié
• Langue: anglais
• Numéro d'édition: 1
• Nombre de pages: 542