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Deep Learning for Medical Image Analysis.pdf

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    Contributors
    About the Editors
    Foreword
    1 An Introduction to Neural Networks and Deep Learning
    1.1 Introduction
    1.2 Feed-Forward Neural Networks
    1.3 Convolutional Neural Networks
    2 An Introduction to Deep Convolutional Neural Nets for Computer Vision
    3 Ef?cient Medical Image Parsing
    5 Automatic Interpretation of Carotid Intima-Media Thickness Videos Using Convolutional Neural Networks
    6 Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images
    7 Deep Voting and Structured Regression for Microscopy Image Analysis
    9 Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching
    10 Characterization of Errors in Deep Learning-Based Brain MRI Segmentation
    10.1 Introduction
    10.2 Deep Learning for Segmentation
    10.3 Convolutional Neural Network Architecture
    10.4 Experiments
    10.5 Results
    10.6 Discussion
    12 Convolutional Neural Networks for Robust and Real-Time 2-D/3-D Registration
    12.1 Introduction
    12.2 X-Ray Imaging Model
    12.3 Problem Formulation
    12.4 Regression Strategy
    12.5 Feature Extraction
    12.6 Convolutional Neural Network
    12.7 Experiments and Results
    12.8 Discussion
    Disclaimer
    References
    14 Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-View Images and Segmentation Maps of Lesions
    15 Randomized Deep Learning Methods for Clinical Trial Enrichment and Design in Alzheimer's Disease
    16 Deep Networks and Mutual Information Maximization for Cross-Modal Medical Image Synthesis
    16.1 Introduction
    16.2 Supervised Synthesis Using Location-Sensitive Deep Network
    16.3 Unsupervised Synthesis Using Mutual Information Maximization
    16.4 Conclusions and Future Work
    Acknowledgements
    References
    17 Natural Language Processing for Large-Scale Medical Image Analysis Using Deep Learning
    17.1 Introduction
    17.2 Fundamentals of Natural Language Processing
    17.2.1 Pattern Matching
    17.2.1.1 Structuring a Free Form Text
    17.2.1.2 Extracting the Image Information
    17.2.1.3 Anonymization
    17.2.2 Topic Modeling
    17.3 Neural Language Models
    17.3.1 Word Embeddings
    17.3.2 Recurrent Language Model
    17.4 Medical Lexicons
    17.4.1 UMLS Metathesaurus
    17.4.2 RadLex
    17.5 Predicting Presence or Absence of Frequent Disease Types
    17.5.1 Mining Presence/Absence of Frequent Disease Terms
    17.5.2 Prediction Result and Discussion
    17.5.2.1 Discussion
    17.6 Conclusion
    Acknowledgements
    References
    Deep Learning for Medical Image Analysis
    The Elsevier and MICCAI Society Book Series Advisory board Stephen Aylward (Kitware,UnitedStates) David Hawkes (UniversityCollegeLondon,UnitedKingdom) Kensaku Mori (UniversityofNagoya,Japan) Alison Noble (UniversityofOxford,UnitedKingdom) Sonia Pujol (HarvardUniversity,UnitedStates) Daniel Rueckert (ImperialCollege,UnitedKingdom) Xavier Pennec (INRIASophia-Antipolis,France) Pierre Jannin (UniversityofRennes,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 Typeset by VTeX
    Contributors R. Venkatesh Babu Indian Institute of Science, Bangalore, India Yaniv Bar Tel-Aviv University, Ramat-Aviv, Israel Joseph Blair University of Copenhagen, Copenhagen, Denmark Andrew P. Bradley University of Queensland, Brisbane, QLD, Australia Gustavo Carneiro University of Adelaide, Adelaide, SA, Australia Hao Chen The Chinese University of Hong Kong, Hong Kong, China Erik B. Dam Biomediq A/S, Copenhagen, Denmark Idit Diamant Tel-Aviv University, Ramat-Aviv, Israel Qi Dou The Chinese University of Hong Kong, Hong Kong, China Michael D. Feldman University of Pennsylvania, Philadelphia, PA, United States Renee Frank University of Pennsylvania, Philadelphia, PA, United States Yaozong Gao University of North Carolina at Chapel Hill, Chapel Hill, NC, United States Bogdan Georgescu Siemens Medical Solutions USA, Inc., Princeton, NJ, United States Ofer Geva Tel-Aviv University, Ramat-Aviv, Israel Florin C. Ghesu Siemens Medical Solutions USA, Inc., Princeton, NJ, United States; Friedrich-Alexander University Erlangen–Nürnberg, Erlangen, Germany Hayit Greenspan Tel-Aviv University, Ramat-Aviv, Israel xv
    xvi Contributors Yanrong Guo University of North Carolina at Chapel Hill, Chapel Hill, NC, United States Pheng-Ann Heng The Chinese University of Hong Kong, Hong Kong, China Joachim Hornegger Friedrich-Alexander University Erlangen–Nürnberg, Erlangen, Germany R. Todd Hurst Mayo Clinic, Scottsdale, AZ, United States Christian Igel University of Copenhagen, Copenhagen, Denmark Vamsi K. Ithapu University of Wisconsin–Madison, Madison, WI, United States Andrew Janowczyk Case Western Reserve University, Cleveland, OH, United States Sterling C. Johnson William S. Middleton Memorial Hospital, Madison, WI, United States; University of Wisconsin–Madison, Madison, WI, United States Michiel Kallenberg Biomediq A/S, Copenhagen, Denmark Christopher B. Kendall Mayo Clinic, Scottsdale, AZ, United States Minjeong Kim University of North Carolina at Chapel Hill, Chapel Hill, NC, United States Eli Konen Sheba Medical Center, Tel-Hashomer, Israel Srinivas S.S. Kruthiventi Indian Institute of Science, Bangalore, India Jianming Liang Arizona State University, Scottsdale, AZ, United States Rui Liao Siemens Medical Solutions USA, Inc., Princeton, NJ, United States Sivan Lieberman Sheba Medical Center, Tel-Hashomer, Israel Le Lu National Institutes of Health Clinical Center, Bethesda, MD, United States Anant Madabhushi Case Western Reserve University, Cleveland, OH, United States
    Contributors xvii Kenneth B. Margulies University of Pennsylvania, Philadelphia, PA, United States Dimitris Metaxas Rutgers University, Piscataway, NJ, United States Shun Miao Siemens Medical Solutions USA, Inc., Princeton, NJ, United States Vincent C.T. Mok The Chinese University of Hong Kong, Hong Kong, China Konda R. Mopuri Indian Institute of Science, Bangalore, India Jacinto Nascimento Instituto Superior Técnico, Lisbon, Portugal Hien Van Nguyen Uber Advanced Technology Center, Pittsburgh, PA, United States Mads Nielsen Biomediq A/S, Copenhagen, Denmark; University of Copenhagen, Copenhagen, Denmark Jeffrey J. Nirschl University of Pennsylvania, Philadelphia, PA, United States Akshay Pai Biomediq A/S, Copenhagen, Denmark; University of Copenhagen, Copenhagen, Denmark Eliot G. Peyster University of Pennsylvania, Philadelphia, PA, United States Nikita Prabhu Indian Institute of Science, Bangalore, India Jing Qin The Hong Kong Polytechnic University, Hong Kong, China Ravi K. Sarvadevabhatla Indian Institute of Science, Bangalore, India Dinggang Shen University of North Carolina at Chapel Hill, Chapel Hill, NC, United States Lin Shi The Chinese University of Hong Kong, Hong Kong, China Hoo-Chang Shin National Institutes of Health Clinical Center, Bethesda, MD, United States Jae Y. Shin Arizona State University, Scottsdale, AZ, United States
    xviii Contributors Vikas Singh University of Wisconsin–Madison, Madison, WI, United States Stefan Sommer University of Copenhagen, Copenhagen, Denmark Suraj Srinivas Indian Institute of Science, Bangalore, India Heung-Il Suk Korea University, Seoul, Republic of Korea Ronald M. Summers National Institutes of Health Clinical Center, Bethesda, MD, United States Nima Tajbakhsh Arizona State University, Scottsdale, AZ, United States Yuan-Ching Teng University of Copenhagen, Copenhagen, Denmark Raviteja Vemulapalli University of Maryland, College Park, MD, United States Defeng Wang The Chinese University of Hong Kong, Hong Kong, China Jane Z. Wang University of British Columbia, Vancouver, BC, Canada Shaoyu Wang University of North Carolina at Chapel Hill, Chapel Hill, NC, United States; Donghua University, Shanghai, China Lior Wolf Tel-Aviv University, Ramat-Aviv, Israel Guorong Wu University of North Carolina at Chapel Hill, Chapel Hill, NC, United States Yuanpu Xie University of Florida, Gainesville, FL, United States Fuyong Xing University of Florida, Gainesville, FL, United States Zhennan Yan Rutgers University, Piscataway, NJ, United States Lin Yang University of Florida, Gainesville, FL, United States Lequan Yu The Chinese University of Hong Kong, Hong Kong, China
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