Overview
- First book to cover this topic in the field so comprehensively
- Detailed attention is given to sub-topics too
- Medical imaging is a topic that affects many and has wide applications
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computational Vision and Biomechanics (LNCVB, volume 14)
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Table of contents (13 chapters)
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Front Matter
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Methods and Models
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Front Matter
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Application Cases
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Front Matter
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Back Matter
Keywords
About this book
This book contains thirteen contributions from invited experts of international recognition addressing important issues in shape analysis in medical image analysis, including techniques for image segmentation, registration, modelling and classification and applications in biology, as well as in cardiac, brain, spine, chest, lung and clinical practice.
This volume treats topics such as for example, anatomic and functional shape representation and matching; shape-based medical image segmentation; shape registration; statistical shape analysis; shape deformation; shape-based abnormity detection; shape tracking and longitudinal shape analysis; machine learning for shape modeling and analysis; shape-based computer-aided-diagnosis; shape-based medical navigation; benchmark and validation of shape representation, analysis and modeling algorithms.
This work will be of interest to researchers, students and manufacturers in the fields of artificial intelligence, bioengineering, biomechanics, computational mechanics, computational vision, computer sciences, human motion, mathematics, medical imaging, medicine, pattern recognition and physics.
Editors and Affiliations
Bibliographic Information
Book Title: Shape Analysis in Medical Image Analysis
Editors: Shuo Li, João Manuel R. S. Tavares
Series Title: Lecture Notes in Computational Vision and Biomechanics
DOI: https://doi.org/10.1007/978-3-319-03813-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-03812-4Published: 07 February 2014
Softcover ISBN: 978-3-319-37521-2Published: 27 August 2016
eBook ISBN: 978-3-319-03813-1Published: 28 January 2014
Series ISSN: 2212-9391
Series E-ISSN: 2212-9413
Edition Number: 1
Number of Pages: VIII, 442
Number of Illustrations: 220 b/w illustrations
Topics: Biomedical Engineering and Bioengineering, Image Processing and Computer Vision, Imaging / Radiology