Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10530)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): Patch-MI: International Workshop on Patch-based Techniques in Medical Imaging
Conference proceedings info: Patch-MI 2017.
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Table of contents (18 papers)
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Front Matter
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Multi-atlas Segmentation
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Front Matter
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Alzheimer’s Disease
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Front Matter
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Reconstruction, Denoising, Super-Resolution
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Front Matter
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Tumor, Lesion
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Front Matter
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About this book
The 18 regular papers presented in this volume were carefully reviewed and selected from 26 submissions. The papers are organized in topical sections on multi-atlas segmentation; segmentation; Alzheimer’s disease; reconstruction, denoising, super-resolution; tumor, lesion; and classification, retrival.
Editors and Affiliations
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University of North Carolina at Chapel Hill, Chapel Hill, USA
Guorong Wu
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College of Charleston, Charleston, USA
Brent C. Munsell
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Siemens Medical Solutions, Malvern, USA
Yiqiang Zhan
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Imperical College London, London, United Kingdom
Wenjia Bai
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Pompeu Fabra University, Barcelona, Spain
Gerard Sanroma
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Bordeaux University, Talence Cedex, France
Pierrick Coupé
Bibliographic Information
Book Title: Patch-Based Techniques in Medical Imaging
Book Subtitle: Third International Workshop, Patch-MI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings
Editors: Guorong Wu, Brent C. Munsell, Yiqiang Zhan, Wenjia Bai, Gerard Sanroma, Pierrick Coupé
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-67434-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-67433-9Published: 31 August 2017
eBook ISBN: 978-3-319-67434-6Published: 30 August 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 168
Number of Illustrations: 59 b/w illustrations
Topics: Image Processing and Computer Vision, Health Informatics, Artificial Intelligence, Arithmetic and Logic Structures, Probability and Statistics in Computer Science