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Head and neck tumor segmentation and outcome predictionsecond challenge, HECKTOR 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Head and neck tumor segmentation and outcome predictionedited by Vincent Andrearczyk ... [et al.].
Reminder of title:	second challenge, HECKTOR 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
remainder title:	HECKTOR 2021
other author:	Andrearczyk, Vincent.
corporate name:
Published:	Cham :Springer International Publishing :2022.
Description:	x, 328 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Diagnostic imagingCongresses.Data processing
Online resource:	https://doi.org/10.1007/978-3-030-98253-9
ISBN:	9783030982539$q(electronic bk.)

Head and neck tumor segmentation and outcome predictionsecond challenge, HECKTOR 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
Head and neck tumor segmentation and outcome predictionsecond challenge, HECKTOR 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /[electronic resource] :HECKTOR 2021edited by Vincent Andrearczyk ... [et al.]. - Cham :Springer International Publishing :2022. - x, 328 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,132090302-9743 ;. - Lecture notes in computer science ;4891..

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.

ISBN: 9783030982539$q(electronic bk.)

Standard No.: 10.1007/978-3-030-98253-9doiSubjects--Topical Terms:

445765
Diagnostic imaging
--Data processing--Congresses.

LC Class. No.: RC78.7.D53 / H43 2021

Dewey Class. No.: 616.0754

Head and neck tumor segmentation and outcome predictionsecond challenge, HECKTOR 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
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