Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11797)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): iMIMIC: International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, ML-CDS: International Workshop on Multimodal Learning for Clinical Decision Support
Conference proceedings info: IMIMIC 2019, ML-CDS 2019.
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Table of contents (11 papers)
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Front Matter
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Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC 2019)
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Front Matter
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9th International Workshop on Multimodal Learning for Clinical Decision Support (ML-CDS 2019)
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Front Matter
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Back Matter
Other Volumes
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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support
About this book
This book constitutes the refereed joint proceedings of the Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019.
The 7 full papers presented at iMIMIC 2019 and the 3 full papers presented at ML-CDS 2019 were carefully reviewed and selected from 10 submissions to iMIMIC and numerous submissions to ML-CDS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.
Keywords
- artificial intelligence
- clinical decision support
- computer assisted intervention
- deep learning
- fuzzy control
- fuzzy logic
- fuzzy models
- fuzzy rules
- fuzzy sets
- fuzzy systems
- image analysis
- image processing
- interpretability
- linguistics
- machine learning
- medical imaging
- multi-modal learning
- neural networks
- semantics
Editors and Affiliations
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Tokyo Institute of Technology, Yokohama, Japan
Kenji Suzuki
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University of Bern, Bern, Switzerland
Mauricio Reyes
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IBM Research - Almaden, San Jose, USA
Tanveer Syeda-Mahmood, Yaniv Gur
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ETH Zurich, Zürich, Germany
Ender Konukoglu
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Imperial College London, London, UK
Ben Glocker
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University Hospital of Bern, Bern, Switzerland
Roland Wiest
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Tel Aviv University, Ramat Aviv, Israel
Hayit Greenspan
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Case Western Reserve University, Cleveland, USA
Anant Madabhushi
Bibliographic Information
Book Title: Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support
Book Subtitle: Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Editors: Kenji Suzuki, Mauricio Reyes, Tanveer Syeda-Mahmood, Ender Konukoglu, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, … Anant Madabhushi
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-33850-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-33849-7Published: 26 October 2019
eBook ISBN: 978-3-030-33850-3Published: 24 October 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 93
Number of Illustrations: 5 b/w illustrations, 35 illustrations in colour
Topics: Artificial Intelligence, Mathematical Logic and Formal Languages, Health Informatics, Image Processing and Computer Vision
