Head and Neck Tumor Segmentation

£44.99

Head and Neck Tumor Segmentation

First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings

Computational biology / bioinformatics Software Engineering Machine learning Image processing

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Collection: Lecture Notes in Computer Science

Language: English

Published by: Springer

Published on: 12th January 2021

Format: LCP-protected ePub

Size: 11 Mb

ISBN: 9783030671945


Challenge Overview

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.

Participants and Objectives

The 2 full and 8 short papers presented together with an overview paper in this volume were carefully reviewed and selected from 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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