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Head and Neck Tumor Segmentation - First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings (Paperback, 1st ed. 2021) Loot Price: R1,469
Discovery Miles 14 690
Repayment Terms: R138 pm x 12*
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Head and Neck Tumor Segmentation - First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4,...

Head and Neck Tumor Segmentation - First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings (Paperback, 1st ed. 2021)

Vincent Andrearczyk, Valentin Oreiller, Adrien Depeursinge

Series: Lecture Notes in Computer Science, 12603

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Loot Price R1,469 Discovery Miles 14 690 | Repayment Terms: R138 pm x 12*

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Head and Neck Tumor Segmentation - First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4,...
Head and Neck Tumor Segmentation - First…
R1,469
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Total price: R1,479
Discovery Miles: 14 790
Terms: R139 pm x 12*
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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 12603
Release date: 2021
First published: 2021
Editors: Vincent Andrearczyk • Valentin Oreiller • Adrien Depeursinge
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 109
Edition: 1st ed. 2021
ISBN-13: 978-3-03-067193-8
Categories: Books > Computing & IT > Computer programming > Software engineering
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN: 3-03-067193-3
Barcode: 9783030671938

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