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Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology

5th MICCAI Workshop, GRAIL 2023 and 1st MICCAI Challenge, OCELOT 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, September 23, and October 4, 2023, Proceedings

  • Conference proceedings
  • © 2024

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14373)

Included in the following conference series:

Conference proceedings info: MICCAI 2023.

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Table of contents (16 papers)

  1. GRAIL 2023

  2. OCELOT 2023

Keywords

About this book

This LNCS conference volume constitutes the proceedings of the MICCAI Workshop GRAIL 2023 and MICCAI Challenge OCELOT 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, September 23, and October 4, 2023. The 9 full papers (GRAIL 2023) and 6 full papers (OCELOT  2023) included in this volume were carefully reviewed and selected from GRAIL 14 (GRAIL 2023) and 6 (OCELOT 2023) submissions.

The conference GRAIL 2023 a wide set of methods and application and OCELOT 2023 focuses on the cover a wide range of methods utilizing tissue information for better cell detection, in the sense of training strategy, model architecture, and especially how to model cell-tissue relationships.

Editors and Affiliations

  • Nvidia, Munich, Germany

    Seyed-Ahmad Ahmadi

  • Lunit Inc., Seoul, Korea (Republic of)

    Sérgio Pereira

Bibliographic Information

  • Book Title: Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology

  • Book Subtitle: 5th MICCAI Workshop, GRAIL 2023 and 1st MICCAI Challenge, OCELOT 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, September 23, and October 4, 2023, Proceedings

  • Editors: Seyed-Ahmad Ahmadi, Sérgio Pereira

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-55088-1

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-55087-4Published: 12 March 2024

  • eBook ISBN: 978-3-031-55088-1Published: 11 March 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 172

  • Number of Illustrations: 6 b/w illustrations, 45 illustrations in colour

  • Topics: Computer Science, general, Artificial Intelligence, Machine Learning

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