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Edited by
S. Kevin Zhou
Hayit Greenspan
Dinggang Shen
Deep Learning for
Medical Image Analysis
Deep Learning for
Medical Image
Analysis
The Elsevier and MICCAI Society
Book Series
Advisory board
Stephen Aylward
(Kitware, United States)
David Hawkes
(University College London, United Kingdom)
Kensaku Mori
(University of Nagoya, Japan)
Alison Noble
(University of Oxford, United Kingdom)
Sonia Pujol
(Harvard University, United States)
Daniel Rueckert
(Imperial College, United Kingdom)
Xavier Pennec
(INRIA Sophia-Antipolis, France)
Pierre Jannin
(University of Rennes, France)
Also available:
Balocco, Computing and Visualization for Intravascular Imaging and
Computer Assisted Stenting, 9780128110188
Wu, Machine Learning and Medical Imaging, 9780128040768
Zhou, Medical Image Recognition, Segmentation and Parsing,
9780128025819
Deep Learning for
Medical Image
Analysis
Edited by
S. Kevin Zhou
Hayit Greenspan
Dinggang Shen
Academic Press is an imprint of Elsevier
125 London Wall, London EC2Y 5AS, United Kingdom
525 B Street, Suite 1800, San Diego, CA 92101-4495, United States
50 Hampshire Street, 5th Floor, Cambridge, MA 02139, United States
The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, United Kingdom
Copyright © 2017 Elsevier Inc. All rights reserved.
No part of this publication may be reproduced or transmitted in any form or by any means, electronic or
mechanical, including photocopying, recording, or any information storage and retrieval system, without
permission in writing from the publisher. Details on how to seek permission, further information about the
Publisher’s permissions policies and our arrangements with organizations such as the Copyright Clearance
Center and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions.
This book and the individual contributions contained in it are protected under copyright by the Publisher (other
than as may be noted herein).
Notices
Knowledge and best practice in this field are constantly changing. As new research and experience broaden our
understanding, changes in research methods, professional practices, or medical treatment may become necessary.
Practitioners and researchers must always rely on their own experience and knowledge in evaluating and using
any information, methods, compounds, or experiments described herein. In using such information or methods
they should be mindful of their own safety and the safety of others, including parties for whom they have a
professional responsibility.
To the fullest extent of the law, neither the Publisher nor the authors, contributors, or editors, assume any liability
for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or
from any use or operation of any methods, products, instructions, or ideas contained in the material herein.
Library of Congress Cataloging-in-Publication Data
A catalog record for this book is available from the Library of Congress
British Library Cataloguing-in-Publication Data
A catalogue record for this book is available from the British Library
ISBN: 978-0-12-810408-8
For information on all Academic Press publications
visit our website at https://www.elsevier.com
Publisher: Joe Hayton
Acquisition Editor: Tim Pitts
Editorial Project Manager: Charlotte Kent
Production Project Manager: Julie-Ann Stansfield
Designer: Matthew Limbert
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