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Head and Neck Tumor Segmentation and Outcome Prediction

Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

  • Conference proceedings
  • © 2022

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13209)

Included in the following conference series:

Conference proceedings info: HECKTOR 2021.

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About this book

This book constitutes the Second 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2021, which was held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021. The challenge took place virtually on September 27, 2021, due to the COVID-19 pandemic.

The 29 contributions presented, as well as an overview paper, were carefully reviewed and selected form numerous 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 325 delineated  PET/CT images was made available for training. 

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Table of contents (30 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

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