Head and Neck Tumor Segmentation

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First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4,2020, Proceedings, Lecture Notes in Computer Science 12603 – Image Processing, Computer Vision, Pattern Recognition, and Graphics

ISBN: 3030671933
ISBN 13: 9783030671938
Herausgeber: Vincent Andrearczyk/Valentin Oreiller/Adrien Depeursinge
Verlag: Springer Verlag GmbH
Umfang: x, 109 S., 3 s/w Illustr., 29 farbige Illustr., 109 p. 32 illus., 29 illus. in color.
Erscheinungsdatum: 13.01.2021
Auflage: 1/2021
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 336317 Kategorie:

Beschreibung

This book constitutes the First 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The challenge took place virtually due to the COVID-19 pandemic.The 2 full and 8 short papers presented together with an overview paper in this volume 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 204 delineated PET/CT images was made available for training as well as 53 PET/CT images for testing. Various deep learning methods were developed by the participants with excellent results.

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E-Mail: juergen.hartmann@springer.com

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