Robust Prostate Cancer Classification with Siamese Neural Networks
Nuclear magnetic resonance (NMR) is a powerful and non–invasive diagnostic tool. However, NMR scanned images are often noisy due to patient motions or breathing. Although modern Computer Aided Diagnosis (CAD) systems, mainly based on Deep Learning (DL), t
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		    George Bebis · Zhaozheng Yin · Edward Kim · Jan Bender · Kartic Subr · Bum Chul Kwon · Jian Zhao · Denis Kalkofen · George Baciu (Eds.)
 
 Advances in Visual Computing 15th International Symposium, ISVC 2020 San Diego, CA, USA, October 5–7, 2020 Proceedings, Part II
 
 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
 
 12510
 
 More information about this subseries at http://www.springer.com/series/7412
 
 George Bebis Zhaozheng Yin Edward Kim Jan Bender Kartic Subr Bum Chul Kwon Jian Zhao Denis Kalkofen George Baciu (Eds.) •
 
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 Advances in Visual Computing 15th International Symposium, ISVC 2020 San Diego, CA, USA, October 5–7, 2020 Proceedings, Part II
 
 123
 
 Editors George Bebis University of Nevada Reno Reno, NV, USA
 
 Zhaozheng Yin Stony Brook University Stony Brook, NY, USA
 
 Edward Kim Drexel University Philadelphia, PA, USA
 
 Jan Bender RWTH Aachen University Aachen, Germany
 
 Kartic Subr University of Edinburgh Edinburgh, UK
 
 Bum Chul Kwon IBM Research – Cambridge Cambridge, MA, USA
 
 Jian Zhao University of Waterloo Waterloo, ON, Canada
 
 Denis Kalkofen Graz University of Technology Graz, Austria
 
 George Baciu The Hong Kong Polytechnic University Hong Kong, Hong Kong
 
 ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-64558-8 ISBN 978-3-030-64559-5 (eBook) https://doi.org/10.1007/978-3-030-64559-5 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 jurisdicti		
 
	 
	 
	 
	 
	 
	 
	 
	 
	 
	 
	