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Head and Neck Tumor Segmentation and Outcome Prediction

Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

  • Conference proceedings
  • © 2023

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13626)

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Conference proceedings info: HECKTOR 2022.

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About this book

This book constitutes the Third 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2022, which was held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, on September 22, 2022.

The 22 contributions presented, as well as an overview paper, were carefully reviewed and selected from 24 submissions. This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 883 delineated  PET/CT images was made available for training. 

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Keywords

Table of contents (24 papers)

Other volumes

  1. Head and Neck Tumor Segmentation and Outcome Prediction

Editors and Affiliations

  • HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland, Sierre, Switzerland

    Vincent Andrearczyk, Valentin Oreiller, Adrien Depeursinge

  • LaTIM, INSERM, University of Brest, Brest, France

    Mathieu Hatt

Bibliographic Information

  • Book Title: Head and Neck Tumor Segmentation and Outcome Prediction

  • Book Subtitle: Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

  • Editors: Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, Adrien Depeursinge

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-27420-6

  • 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 2023

  • Softcover ISBN: 978-3-031-27419-0Published: 19 March 2023

  • eBook ISBN: 978-3-031-27420-6Published: 17 March 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XI, 257

  • Number of Illustrations: 8 b/w illustrations, 67 illustrations in colour

  • Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Signal, Image and Speech Processing, Machine Learning, Bioinformatics

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