Medical Computer Vision: Algorithms for Big Data International Works
This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCV 2014, held in Cambridge, MA, USA, in September 2019, in conjunction with the 17th International
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Bjoern Menze · Georg Langs Albert Montillo · Michael Kelm Henning Müller · Shaoting Zhang Weidong (Tom) Cai · Dimitris Metaxas (Eds.)
Medical Computer Vision: Algorithms for Big Data International Workshop, MCV 2014 Held in Conjunction with MICCAI 2014 Cambridge, MA, USA, September 18, 2014 Revised Selected Papers
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Lecture Notes in Computer Science Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen
Editorial Board David Hutchison Lancaster University, Lancaster, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Zürich, Switzerland John C. Mitchell Stanford University, Stanford, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen TU Dortmund University, Dortmund, Germany Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max Planck Institute for Informatics, Saarbruecken, Germany
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More information about this series at http://www.springer.com/series/7412
Bjoern Menze Georg Langs Albert Montillo Michael Kelm Henning Müller Shaoting Zhang Weidong (Tom) Cai Dimitris Metaxas (Eds.) •
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Medical Computer Vision: Algorithms for Big Data International Workshop, MCV 2014 Held in Conjunction with MICCAI 2014 Cambridge, MA, USA, September 18, 2014 Revised Selected Papers
123
Editors Bjoern Menze Technische Universität München Munich Germany
Henning Müller University of Applied Sciences Sierre Switzerland
Georg Langs Medical University of Vienna Vienna Austria
Shaoting Zhang University of North Carolina Charlotte USA
Albert Montillo GE Global Research Niskayuna, NY USA
Weidong (Tom) Cai School of Information Technologies Biomedical and Multimedia Information Technology (BMIT) Research Group, University of Sydney Sydney, NSW Australia
Michael Kelm Siemens AG Erlangen Germany
Dimitris Metaxas Rutgers University Piscataway, NJ USA
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-319-13971-5 ISBN 978-3-319-13972-2 (eBook) DOI 10.1007/978-3-319-13972-2 Library of Congress Control Number: 2014958150 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2014 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,
