Deep Learning in Medical Image Analysis Challenges and Applications
This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcar
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Gobert Lee Hiroshi Fujita Editors
Deep Learning in Medical Image Analysis Challenges and Applications
Advances in Experimental Medicine and Biology Volume 1213 Series Editors Wim E. Crusio, CNRS and University of Bordeaux UMR 5287, Institut de Neurosciences Cognitives et Intégratives d’Aquitaine, Pessac Cedex, France John D. Lambris, University of Pennsylvania, Philadelphia, PA, USA Heinfried H. Radeke, Clinic of the Goethe University Frankfurt Main, Institute of Pharmacology & Toxicology, Frankfurt am Main, Germany Nima Rezaei, Research Center for Immunodeficiencies, Children’s Medical Center, Tehran University of Medical Sciences, Tehran, Iran
Advances in Experimental Medicine and Biology presents multidisciplinary and dynamic findings in the broad fields of experimental medicine and biology. The wide variety in topics it presents offers readers multiple perspectives on a variety of disciplines including neuroscience, microbiology, immunology, biochemistry, biomedical engineering and cancer research. Advances in Experimental Medicine and Biology has been publishing exceptional works in the field for over 40 years, and is indexed in SCOPUS; Medline (PubMed); Journal Citation Reports/Science Edition; Science Citation Index Expanded (SciSearch) (Web of Science); EMBASE; BIOSIS, Reaxys; EMBiology; the Chemical Abstracts Service (CAS); and Pathway Studio. The series also provides scientists with up to date information on emerging topics and techniques. 2018 Impact Factor: 2.126.
More information about this series at http://www.springer.com/series/5584
Gobert Lee • Hiroshi Fujita Editors
Deep Learning in Medical Image Analysis Challenges and Applications
Editors Gobert Lee College of Sciences & Engineering Flinders University Adelaide, SA, Australia
Hiroshi Fujita Faculty of Engineering Gifu University Gifu, Japan
ISSN 0065-2598 ISSN 2214-8019 (electronic) Advances in Experimental Medicine and Biology ISBN 978-3-030-33127-6 ISBN 978-3-030-33128-3 (eBook) https://doi.org/10.1007/978-3-030-33128-3 © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, exp
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