Deep Learning in Healthcare Paradigms and Applications

This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, dee

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Yen-Wei Chen Lakhmi C. Jain   Editors

Deep Learning in Healthcare Paradigms and Applications

Intelligent Systems Reference Library Volume 171

Series Editors Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland Lakhmi C. Jain, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology, Sydney, NSW, Australia; Faculty of Science, Technology and Mathematics, University of Canberra, Canberra, ACT, Australia; KES International, Shoreham-by-Sea, UK; Liverpool Hope University, Liverpool, UK

The aim of this series is to publish a Reference Library, including novel advances and developments in all aspects of Intelligent Systems in an easily accessible and well structured form. The series includes reference works, handbooks, compendia, textbooks, well-structured monographs, dictionaries, and encyclopedias. It contains well integrated knowledge and current information in the field of Intelligent Systems. The series covers the theory, applications, and design methods of Intelligent Systems. Virtually all disciplines such as engineering, computer science, avionics, business, e-commerce, environment, healthcare, physics and life science are included. The list of topics spans all the areas of modern intelligent systems such as: Ambient intelligence, Computational intelligence, Social intelligence, Computational neuroscience, Artificial life, Virtual society, Cognitive systems, DNA and immunity-based systems, e-Learning and teaching, Human-centred computing and Machine ethics, Intelligent control, Intelligent data analysis, Knowledge-based paradigms, Knowledge management, Intelligent agents, Intelligent decision making, Intelligent network security, Interactive entertainment, Learning paradigms, Recommender systems, Robotics and Mechatronics including human-machine teaming, Self-organizing and adaptive systems, Soft computing including Neural systems, Fuzzy systems, Evolutionary computing and the Fusion of these paradigms, Perception and Vision, Web intelligence and Multimedia. ** Indexing: The books of this series are submitted to ISI Web of Science, SCOPUS, DBLP and Springerlink.

More information about this series at http://www.springer.com/series/8578

Yen-Wei Chen Lakhmi C. Jain •

Editors

Deep Learning in Healthcare Paradigms and Applications

123

Editors Yen-Wei Chen College of Information Science and Engineering Ritsumeikan University Kusatsu, Japan Zhejiang Laboratory Hangzhou, China

Lakhmi C. Jain Faculty of Engineering and Information Technology, Centre for Artificial Intelligence University of Technology Sydney, NSW, Australia Faculty of Science, Technology and Mathematics University of Canberra Canberra, ACT, Australia KES International Shoreham-by-Sea, UK Liverpool Hope University Liverpool, UK

ISSN 1868-4394 ISSN 1868-4408 (electronic) Intelligent Systems Reference Library ISBN 978-3-030-32605-0 ISBN 978-3-030-32606-7 (eBook) https://doi.org/10.1007/978-3-030-32606-7 © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights