Optic Disc, Cup and Fovea Detection from Retinal Images Using U-Net++ with EfficientNet Encoder

The accurate detection of retinal structures like an optic disc (OD), cup, and fovea is crucial for the analysis of Age-related Macular Degeneration (AMD), Glaucoma, and other retinal conditions. Most segmentation methods rely on separate detection of the

  • PDF / 63,664,959 Bytes
  • 227 Pages / 439.37 x 666.142 pts Page_size
  • 122 Downloads / 379 Views

DOWNLOAD

REPORT


Huazhu Fu · Mona K. Garvin · Tom MacGillivray · Yanwu Xu · Yalin Zheng (Eds.)

Ophthalmic Medical Image Analysis 7th International Workshop, OMIA 2020 Held in Conjunction with MICCAI 2020 Lima, Peru, October 8, 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

12069

More information about this subseries at http://www.springer.com/series/7412

Huazhu Fu Mona K. Garvin Tom MacGillivray Yanwu Xu Yalin Zheng (Eds.) •







Ophthalmic Medical Image Analysis 7th International Workshop, OMIA 2020 Held in Conjunction with MICCAI 2020 Lima, Peru, October 8, 2020 Proceedings

123

Editors Huazhu Fu Inception Institute of Artificial Intelligence Abu Dhabi, United Arab Emirates

Mona K. Garvin University of Iowa Iowa City, IA, USA

Tom MacGillivray University of Edinburgh Edinburgh, UK

Yanwu Xu Baidu Inc. Beijing, China

Yalin Zheng University of Liverpool Liverpool, UK

ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-63418-6 ISBN 978-3-030-63419-3 (eBook) https://doi.org/10.1007/978-3-030-63419-3 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 to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Preface

The 7th International Workshop on Ophthalmic Medical Image Anal