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文库首页人工智能深度学习Deep Learning and Convolutional Neural Networks for Medical Image Computing

Deep Learning and Convolutional Neural Networks for Medical Imag...

深度学习

卷积神经网络

医疗图像

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Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets (Advances in Computer Vision and Pattern Recognition) by Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang 2017 | ISBN: 3319429981 | English | 326 pages | PDF | 14 MB This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.

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Advances in Computer Vision and Pattern Recognition

Deep Learning and

Convolutional Neural

Networks for Medical

Image Computing

Le Lu · Yefeng Zheng

Gustavo Carneiro · Lin Yang Editors

Precision Medicine, High Performance

and Large-Scale Datasets

Advances in Computer Vision and Pattern

Recognition

Founding editor

Sameer Singh, Rail Vision, Castle Donington, UK

Series editor

Sing Bing Kang, Microsoft Research, Redmond, WA, USA

Advisory Board

Horst Bischof, Graz University of Technology, Austria

Richard Bowden, University of Surrey, Guildford, UK

Sven Dickinson, University of Toronto, ON, Canada

Jiaya Jia, The Chinese University of Hong Kong, Hong Kong

Kyoung Mu Lee, Seoul National University, South Korea

Yoichi Sato, The University of Tokyo, Japan

Bernt Schiele, Max Planck Institute for Computer Science, Saarbrücken, Germany

Stan Sclaroff, Boston University, MA, USA

More information about this series at http://www.springer.com/series/4205

Le Lu

•

Yefeng Zheng

•

Gustavo Carneiro

Lin Yang

Editors

Deep Learning

and Convolutional Neural

Networks for Medical Image

Computing

Precision Medicine, High Performance

and Large-Scale Datasets

123

Editors

Le Lu

National Institutes of Health Clinical Center

Bethesda, MD

USA

Yefeng Zheng

Siemens Healthcare Technology Center

Princeton, NJ

USA

Gustavo Carneiro

University of Adelaide

Adelaide, SA

Australia

Lin Yang

University of Florida

Gainesville, FL

USA

ISSN 2191-6586 ISSN 2191-6594 (electronic)

Advances in Computer Vision and Pattern Recognition

ISBN 978-3-319-42998-4 ISBN 978-3-319-42999-1 (eBook)

DOI 10.1007/978-3-319-42999-1

Library of Congress Control Number: 2017936345

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, express 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.

Printed on acid-free paper

This Springer imprint is published by Springer Nature

The registered company is Springer International Publishing AG

The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

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