Editors:
Part of the book series: Communications in Computer and Information Science (CCIS, volume 404)
Conference series link(s): ACBIT: International Conference on Biomedical Informatics and Technology
Conference proceedings info: ACBIT 2013.
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Table of contents (30 papers)
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Front Matter
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Physiological Signals and Nonlinear Dynamics
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Medical Image Analysis
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Recognition and Machine Learning in Biology, Medicine, and Health
About this book
Editors and Affiliations
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Aizu Research Cluster for Medical Engineering and Informatics Research Center for Advanced Information Science and Technology, The University of Aizu, Aizuwakamatsu, Japan
Tuan D. Pham
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Department of Cancer Biology, Division of Mathematical Oncology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
Kazuhisha Ichikawa
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Chaos Technology Research Lab, Otsu-shi, Japan
Mayumi Oyama-Higa
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Department of Biostatistics and Medical Informatics, Faculty of Medicine and Pharmacy, The Free University of Brussels, Laarbeeklaan, Belgium
Danny Coomans
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Department of Computer Science, University of Muenster, Muenster, Germany
Xiaoyi Jiang
Bibliographic Information
Book Title: Biomedical Informatics and Technology
Book Subtitle: First International Conference, ACBIT 2013, Aizu-Wakamatsu, Japan, September 16-17, 2013. Revised Selected Papers
Editors: Tuan D. Pham, Kazuhisha Ichikawa, Mayumi Oyama-Higa, Danny Coomans, Xiaoyi Jiang
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-3-642-54121-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE, part of Springer Nature 2014
Softcover ISBN: 978-3-642-54120-9Published: 11 April 2014
eBook ISBN: 978-3-642-54121-6Published: 07 April 2014
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XII, 326
Number of Illustrations: 191 b/w illustrations
Topics: Health Informatics, Pattern Recognition, Image Processing and Computer Vision, Computer Applications