Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10126)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: SeSAMI 2016.
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About this book
This book constitutes the refereed post-conference proceedings of the First International Workshop on Spectral and Shape Analysis in Medical Imaging, SeSAMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016.
The 10 submitted full papers presented in this volume were carefully reviewed.
The papers reflect the following topics: spectral methods; longitudinal methods; and shape methods.
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Keywords
- anatomical modeling
- computer-aided diagnosis
- geometry processing
- medical image computing
- structural MRI
- brain classification
- cochlea segmentation
- dimensionality reduction
- functional analysis
- longitudinal shape analysis
- medical applications
- mesh segmentation
- ; registration
- segmentation
- shape analysis
- shape modeling
- spectral analysis
- statistical shape analysis
- volumetric parameterization
Table of contents (10 papers)
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Front Matter
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Longitudinal Methods
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Front Matter
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Shape Methods
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Front Matter
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Back Matter
Other volumes
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Spectral and Shape Analysis in Medical Imaging
Editors and Affiliations
Bibliographic Information
Book Title: Spectral and Shape Analysis in Medical Imaging
Book Subtitle: First International Workshop, SeSAMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Revised Selected Papers
Editors: Martin Reuter, Christian Wachinger, Hervé Lombaert
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-51237-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2016
Softcover ISBN: 978-3-319-51236-5Published: 11 December 2016
eBook ISBN: 978-3-319-51237-2Published: 10 December 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VIII, 133
Number of Illustrations: 45 b/w illustrations
Topics: Image Processing and Computer Vision, Health Informatics, Artificial Intelligence, Pattern Recognition, Data Mining and Knowledge Discovery