Open Access Paper
10 May 2023 Front Matter: Volume 12471
Abstract
This PDF file contains the front matter associated with SPIE Proceedings Volume 12471, including the Title Page, Copyright information, Table of Contents, and Conference Committee information.

The papers in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee. Some conference presentations may not be available for publication. Additional papers and presentation recordings may be available online in the SPIE Digital Library at SPIEDigitalLibrary.org.

The papers reflect the work and thoughts of the authors and are published herein as submitted. The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon.

Please use the following format to cite material from these proceedings:

Author(s), “Title of Paper,” in Medical Imaging 2023: Digital and Computational Pathology, edited by John E. Tomaszewski, Aaron D. Ward, Proc. of SPIE 12471, Seven-digit Article CID Number (DD/MM/YYYY); (DOI URL).

ISSN: 1605-7422

ISSN: 2410-9045 (electronic)

ISBN: 9781510660472

ISBN: 9781510660489 (electronic)

Published by

SPIE

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Copyright © 2023 Society of Photo-Optical Instrumentation Engineers (SPIE).

Copying of material in this book for internal or personal use, or for the internal or personal use of specific clients, beyond the fair use provisions granted by the U.S. Copyright Law is authorized by SPIE subject to payment of fees. To obtain permission to use and share articles in this volume, visit Copyright Clearance Center at copyright.com. Other copying for republication, resale, advertising or promotion, or any form of systematic or multiple reproduction of any material in this book is prohibited except with permission in writing from the publisher.

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Publication of record for individual papers is online in the SPIE Digital Library.

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Paper Numbering: A unique citation identifier (CID) number is assigned to each article in the Proceedings of SPIE at the time of publication. Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication. SPIE uses a seven-digit CID article numbering system structured as follows:

  • The first five digits correspond to the SPIE volume number.

  • The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters. These two-number sets start with 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 0A, 0B … 0Z, followed by 10-1Z, 20-2Z, etc. The CID Number appears on each page of the manuscript.

Conference Committee

Symposium Chairs

  • Robert M. Nishikawa, University of Pittsburgh (United States)

  • Despina Kontos, Penn Medicine (United States)

Conference Chairs

  • John E. Tomaszewski, University at Buffalo (United States)

  • Aaron D. Ward, The University of Western Ontario (Canada)

Conference Program Committee

  • Selim Aksoy, Bilkent University (Turkey)

  • Ulysses J. Balis, University of Michigan Health System (United States)

  • Rohit Bhargava, University of Illinois at Urbana-Champaign (United States)

  • Ulf-Dietrich Braumann, Institut für Angewandte Informatik e.V. (Germany)

  • Bradley Brimhall, The University of Texas Health Science Center at San Antonio (United States)

  • Matthew J. Cecchini, London Health Sciences Center (Canada)

  • Keith C. Cheng, Penn State College of Medicine (United States)

  • Wei-Chung Cheng, United States Food and Drug Administration (United States)

  • Eric Cosatto, NEC Laboratories America, Inc. (United States)

  • Scott Doyle, Rutgers, The State University of New Jersey (United States)

  • Alton B. Farris, Emory University (United States)

  • Michael D. Feldman, The University of Pennsylvania Health System (United States)

  • Marios A. Gavrielides, AstraZeneca Pharmaceuticals LP (United States)

  • April Khademi, Toronto Metropolitan University (Canada)

  • Elizabeth A. Krupinski, Emory University School of Medicine (United States)

  • Tom R. L. Kimpe, Barco N.V. (Belgium)

  • Richard M. Levenson, University of California, Davis (United States)

  • Olivier Lezoray, Université de Caen Basse-Normandie (France)

  • Geert Litjens, Radboud Universitair Medisch Centrum (Netherlands)

  • Anant Madabhushi, Emory University School of Medicine (United States)

  • Derek R. Magee, University of Leeds (United Kingdom)

  • Erik Meijering, The University of New South Wales (Australia)

  • James P. Monaco, Inspirata, Inc. (United States)

  • Mehdi Moradi, IBM Research (United States)

  • Bahram Parvin, Lawrence Berkeley National Laboratory (United States)

  • Nasir M. Rajpoot, The University of Warwick (United Kingdom)

  • Berkman Sahiner, United States Food and Drug Administration (United States)

  • Pinaki Sarder, University of Florida College of Medicine (United States)

  • Chukka Srinivas, Amazon Lab126 (United States)

  • Darren Treanor, University of Leeds (United Kingdom)

  • Jeroen van der Laak, Radboud Universitair Medisch Centrum (Netherlands)

  • Mitko Veta, Technische Universiteit Eindhoven (Netherlands)

  • Martin J. Yaffe, Sunnybrook Research Institute (Canada)

  • Bülent Yener, Rensselaer Polytechnic Institute (United States)

© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
"Front Matter: Volume 12471", Proc. SPIE 12471, Medical Imaging 2023: Digital and Computational Pathology, 1247101 (10 May 2023); https://doi.org/10.1117/12.2682186
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KEYWORDS
Image segmentation

Deep learning

Histopathology

Pathology

Image classification

3D modeling

Cancer detection

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