Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and
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Le Lu Xiaosong Wang Gustavo Carneiro Lin Yang Editors
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
Advances in Computer Vision and Pattern Recognition Founding Editor Sameer Singh, Rail Vision, Castle Donington, UK Series Editor Sing Bing Kang, Zillow, Inc., Seattle, WA, USA Advisory Editors Horst Bischof, Graz University of Technology, Graz, Austria Richard Bowden, University of Surrey, Guildford, Surrey, UK Sven Dickinson, University of Toronto, Toronto, ON, Canada Jiaya Jia, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong Kyoung Mu Lee, Seoul National University, Seoul, Korea (Republic of) Yoichi Sato, University of Tokyo, Tokyo, Japan Bernt Schiele, Max Planck Institute for Computer Science, Saarbrücken, Saarland, Germany Stan Sclaroff, Boston University, Boston, MA, USA
More information about this series at http://www.springer.com/series/4205
Le Lu Xiaosong Wang Gustavo Carneiro Lin Yang •
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Editors
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
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Editors Le Lu Bethesda Research Lab PAII Inc. Bethesda, MD, USA
Xiaosong Wang Nvidia Corporation Bethesda, MD, USA
Department of Computer Science Johns Hopkins University Baltimore, MD, USA
Lin Yang Department of Biomedical Engineering University of Florida Gainesville, FL, USA
Gustavo Carneiro School of Computer Science University of Adelaide Adelaide, SA, Australia
ISSN 2191-6586 ISSN 2191-6594 (electronic) Advances in Computer Vision and Pattern Recognition ISBN 978-3-030-13968-1 ISBN 978-3-030-13969-8 (eBook) https://doi.org/10.1007/978-3-030-13969-8 © Springer Nature Switzerland AG 2019 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, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestras
