Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10008)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): DLMIA: International Workshop on Deep Learning in Medical Image Analysis, LABELS: International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis
Conference proceedings info: DLMIA 2016, LABELS 2016.
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Table of contents (29 papers)
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Front Matter
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Deep Learning in Medical Image Analysis
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Front Matter
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About this book
Keywords
- active learning
- deep learning
- human-computer interaction
- label uncertainty
- medical image analysis
- anatomical structure segmentation
- cell detection
- clinical prediction
- computer aided diagnosis
- convolutional neural network
- crowdsourcing
- domain adaptation
- MRI
- multi-label annotation
- neurosurgery
- parameter approximation
- semantic description
- semi-supervised learning
- transfer learning
- machine learning
Editors and Affiliations
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University of Adelaide, Adelaide, Australia
Gustavo Carneiro
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Technical University of Munich, Garching, Germany
Diana Mateus, Loïc Peter
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University of Queensland, St Lucia, Australia
Andrew Bradley
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Universidade do Porto, Porto, Portugal
João Manuel R. S. Tavares, Jaime S. Cardoso
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University of Oxford, Oxford, United Kingdom
Vasileios Belagiannis
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Universidade Estadual Paulista, Bauru, Brazil
João Paulo Papa
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Instituto Superior Técnico, Lisbon, Portugal
Jacinto C. Nascimento
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Delft University of Technology, Delft, The Netherlands
Marco Loog
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University of South Australia, Adelaide, Australia
Zhi Lu
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Google DeepMind, London, United Kingdom
Julien Cornebise
Bibliographic Information
Book Title: Deep Learning and Data Labeling for Medical Applications
Book Subtitle: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings
Editors: Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, … Julien Cornebise
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-46976-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2016
Softcover ISBN: 978-3-319-46975-1Published: 27 September 2016
eBook ISBN: 978-3-319-46976-8Published: 07 October 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 280
Number of Illustrations: 115 b/w illustrations
Topics: Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence, Computer Graphics, Health Informatics