Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10154)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): BrainLes: International MICCAI Brainlesion Workshop
Conference proceedings info: BrainLes 2016.
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Table of contents (26 papers)
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Front Matter
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Brain Lesion Image Analysis
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Front Matter
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Brain Tumor Image Segmentation
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Front Matter
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Other Volumes
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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
About this book
The 26 papers presented in this volume were carefully reviewed. They present the latest advances in segmentation, disease prognosis and other applications to the clinical context.
Keywords
- brain image analysis
- complex networks
- image processing
- medical imaging
- probabilistic model
- brain cancer
- clinicalprognosis
- database
- deep learning
- deep neural networks
- glioma
- graph theory
- image segmentation
- life and medical sciences
- MRI
- multiple sclerosis
- segmentation
- statistical pattern recognition
- trauma brain injuries
- validation
Editors and Affiliations
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University of Zurich, Istituto Italiano di Tecnologia, Genoa, Italy
Alessandro Crimi
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TU München, Computer Science, Munich, Germany
Bjoern Menze
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Medical Informatics, University of Lübeck, Lübeck, Germany
Oskar Maier
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Surgical Technology and Biomechanics, Universität Bern, Bern, Switzerland
Mauricio Reyes
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Department of Medicine, University of Cambridge, Cambridge, United Kingdom
Stefan Winzeck
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Institute of Medical Informatics, University of Lübeck, Lübeck, Germany
Heinz Handels
Bibliographic Information
Book Title: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
Book Subtitle: Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers
Editors: Alessandro Crimi, Bjoern Menze, Oskar Maier, Mauricio Reyes, Stefan Winzeck, Heinz Handels
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-55524-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2016
Softcover ISBN: 978-3-319-55523-2Published: 12 April 2017
eBook ISBN: 978-3-319-55524-9Published: 11 April 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 292
Number of Illustrations: 110 b/w illustrations
Topics: Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence, Algorithm Analysis and Problem Complexity, Data Mining and Knowledge Discovery, Health Informatics