Medical Image Tagging by Deep Learning and Retrieval
Radiologists and other qualified physicians need to examine and interpret large numbers of medical images daily. Systems that would help them spot and report abnormalities in medical images could speed up diagnostic workflows. Systems that would help expl
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Avi Arampatzis · Evangelos Kanoulas · Theodora Tsikrika · Stefanos Vrochidis · Hideo Joho · Christina Lioma · Carsten Eickhoff · Aurélie Névéol · Linda Cappellato · Nicola Ferro (Eds.)
Experimental IR Meets Multilinguality, Multimodality, and Interaction 11th International Conference of the CLEF Association, CLEF 2020 Thessaloniki, Greece, September 22–25, 2020 Proceedings
Lecture Notes in Computer Science Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA
Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, Beijing, China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA
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More information about this series at http://www.springer.com/series/7409
Avi Arampatzis Evangelos Kanoulas Theodora Tsikrika Stefanos Vrochidis Hideo Joho Christina Lioma Carsten Eickhoff Aurélie Névéol Linda Cappellato Nicola Ferro (Eds.) •
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Experimental IR Meets Multilinguality, Multimodality, and Interaction 11th International Conference of the CLEF Association, CLEF 2020 Thessaloniki, Greece, September 22–25, 2020 Proceedings
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Editors Avi Arampatzis Department of Electrical and Computer Engineering Democritus University of Thrace Xanthi, Greece Theodora Tsikrika Information Technologies Institute Centre for Research and Technology Hellas Thessaloniki, Greece Hideo Joho Faculty of Library, Information and Media Science University of Tsukuba Ibaraki, Japan Carsten Eickhoff Brown University Providence, RI, USA Linda Cappellato Department of Information Engineering University of Padova Padua, Italy
Evangelos Kanoulas University of Amsterdam Amsterdam, The Netherlands Stefanos Vrochidis Information Technologies Institute Centre for Research and Technology Hellas Thessaloniki, Greece Christina Lioma Department of Computer Science University of Copenhagen Copenhagen, Denmark Aurélie Névéol LIMSI-CNRS Orsay, France University Paris-Saclay Saint-Aubin, France Nicola Ferro Department of Information Engineering University of Padova Padua, Italy
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-58218-0 ISBN 978-3-030-58219-7 (eBook) https://doi.org/10.1007/978-3-030-58219-7 LNCS Sublibrary: SL3 – Information Systems and Applications, incl. Internet/Web, and HCI © Springer Nature Switzerland AG 2020 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 m