Editors:
- Up-to-date results
- Fast track conference proceedings
- State-of-the-art report
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8848)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): MCV: International MICCAI Workshop on Medical Computer Vision
Conference proceedings info: MCV 2014.
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Table of contents (19 papers)
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Front Matter
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Workshop Overview
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Front Matter
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Segmentation of Big Medical Data
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Front Matter
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Advanced Feature Extraction
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Front Matter
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Multi-atlas and Beyond
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Front Matter
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About this book
Editors and Affiliations
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Technische Universität München, München, Germany
Bjoern Menze
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Medical University of Vienna, Vienna, Austria
Georg Langs
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GE Global Research, Niskayuna, USA
Albert Montillo
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Siemens AG, Erlangen, Germany
Michael Kelm
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University of Applied Sciences, Sierre, Switzerland
Henning Müller
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University of North Carolina, Charlotte, USA
Shaoting Zhang
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School of Information Technologies, Biomedical & Multimedia Info. Tech.(BMIT) Research Group, University of Sydney, Sydney, Australia
Weidong (Tom) Cai
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Rutgers University, Piscataway, USA
Dimitris Metaxas
Bibliographic Information
Book Title: Medical Computer Vision: Algorithms for Big Data
Book Subtitle: International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers
Editors: Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Henning Müller, Shaoting Zhang, Weidong (Tom) Cai, … Dimitris Metaxas
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-13972-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Softcover ISBN: 978-3-319-13971-5Published: 22 December 2014
eBook ISBN: 978-3-319-13972-2Published: 09 December 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 211
Number of Illustrations: 78 b/w illustrations
Topics: Image Processing and Computer Vision, Pattern Recognition, User Interfaces and Human Computer Interaction, Computer Graphics, Simulation and Modeling