Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10552)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): CVII-STENT: Joint MICCAI-Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, LABELS: International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, STENT: International Workshop on Computer Assisted Stenting
Conference proceedings info: CVII 2017, LABELS 2017, STENT 2017.
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Table of contents (17 papers)
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Front Matter
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6th Joint International Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2017
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Front Matter
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Second International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2017
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Front Matter
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Other Volumes
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Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis
About this book
This book constitutes the refereed joint proceedings of the 6th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2017, and the Second International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017.
The 6 full papers presented at CVII-STENT 2017 and the 11 full papers presented at LABELS 2017 were carefully reviewed and selected. The CVII-STENT papers feature the state of the art in imaging, treatment, and computer-assisted intervention in the field of endovascular interventions. The LABELS papers present a variety of approaches for dealing with few labels, from transfer learning to crowdsourcing.
Keywords
- artificial intelligence
- classification
- classifiers
- computer aided design
- computer vision
- computerized tomography
- image analysis
- image enhancement
- image reconstruction
- image segmentation
- imaging systems
- learning algorithms
- learning systems
- machine learning
- medical imaging
- neural networks
- segmentation methods
- supervised learning
- Support Vector Machines (SVM)
Editors and Affiliations
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University College London, London, United Kingdom
M. Jorge Cardoso
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McGill University, Montreal, Canada
Tal Arbel
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Imperial College London, London, United Kingdom
Su-Lin Lee
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Eindhoven University of Technology, Eindhoven, The Netherlands
Veronika Cheplygina
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University of Barcelona, Barcelona, Spain
Simone Balocco
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Technical University of Munich, Garching, Germany
Diana Mateus
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Nara Institute of Science and Technology, Nara, Japan
Guillaume Zahnd
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DKFZ, Heidelberg, Germany
Lena Maier-Hein
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Technical University Munich, Munich, Germany
Stefanie Demirci, Shadi Albarqouni
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École de Technologie Supérieure, Montreal, Canada
Eric Granger, Luc Duong, Marc-André Carbonneau
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University of Adelaide, Adelaide, Australia
Gustavo Carneiro
Bibliographic Information
Book Title: Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis
Book Subtitle: 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings
Editors: M. Jorge Cardoso, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maier-Hein, Stefanie Demirci, Eric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, … Gustavo Carneiro
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-67534-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-67533-6Published: 08 September 2017
eBook ISBN: 978-3-319-67534-3Published: 06 September 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 166
Number of Illustrations: 73 b/w illustrations
Topics: Image Processing and Computer Vision, Health Informatics, Artificial Intelligence, Computer Systems Organization and Communication Networks