ENGLISH

Head and Neck Tumor Segmentation: First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings (Image ... Vision, Pattern Recognition, and Graphics)

By Adrien Depeursinge (editor) , Vincent Andrearczyk (editor) , Valentin Oreiller (editor)

Book information

Publisher
Springer
Year
2021
ISBN
3030671933, 9783030671938
Language
english
Format
PDF
Filesize
12 MB (12607724 bytes)
Pages
120\119
Time added
2024-04-09 12:36:45

Description

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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