Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images
Assessing the degree of disease severity in biomedical images is a task similar to standard classification but constrained by an underlying structure in the label space. Such a structure reflects the monotonic relationship between different disease grades
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Anne L. Martel · Purang Abolmaesumi · Danail Stoyanov · Diana Mateus · Maria A. Zuluaga · S. Kevin Zhou · Daniel Racoceanu · Leo Joskowicz (Eds.)
Medical Image Computing and Computer Assisted Intervention — MICCAI 2020 23rd International Conference Lima, Peru, October 4–8, 2020 Proceedings, Part V
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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Anne L. Martel Purang Abolmaesumi Danail Stoyanov Diana Mateus Maria A. Zuluaga S. Kevin Zhou Daniel Racoceanu Leo Joskowicz (Eds.) •
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 23rd International Conference Lima, Peru, October 4–8, 2020 Proceedings, Part V
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Editors Anne L. Martel University of Toronto Toronto, ON, Canada
Purang Abolmaesumi The University of British Columbia Vancouver, BC, Canada
Danail Stoyanov University College London London, UK
Diana Mateus École Centrale de Nantes Nantes, France
Maria A. Zuluaga EURECOM Biot, France
S. Kevin Zhou Chinese Academy of Sciences Beijing, China
Daniel Racoceanu Sorbonne University Paris, France
Leo Joskowicz The Hebrew University of Jerusalem Jerusalem, Israel
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-59721-4 ISBN 978-3-030-59722-1 (eBook) https://doi.org/10.1007/978-3-030-59722-1 LNCS Sublibrary: SL6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics © 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 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, expressed 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
