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Rapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Roth, Holger; Xu, Ziyue; Diez, Carlos Tor et al.
2021
 

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Abstract :
[en] Artificial intelligence (AI) methods for the automatic detection and quantification of COVID-19 lesions in chest computed tomography (CT) might play an important role in the monitoring and management of the disease. We organized an international challenge and competition for the development and comparison of AI algorithms for this task, which we supported with public data and state-of-the-art benchmark methods. Board Certified Radiologists annotated 295 public images from two sources (A and B) for algorithms training (n=199, source A), validation (n=50, source A) and testing (n=23, source A; n=23, source B). There were 1,096 registered teams of which 225 and 98 completed the validation and testing phases, respectively. The challenge showed that AI models could be rapidly designed by diverse teams with the potential to measure disease or facilitate timely and patient-specific interventions. This paper provides an overview and the major outcomes of the COVID-19 Lung CT Lesion Segmentation Challenge - 2020.
Disciplines :
Life sciences: Multidisciplinary, general & others
Author, co-author :
Roth, Holger
Xu, Ziyue
Diez, Carlos Tor
Jacob, Ramon Sanchez
Zember, Jonathan
Molto, Jose
Li, Wenqi
Xu, Sheng
Turkbey, Baris
Turkbey, Evrim
Yang, Dong
Harouni, Ahmed
Rieke, Nicola
Hu, Shishuai
Isensee, Fabian
Tang, Claire
Yu, Qinji
Sölter, Jan ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Interventional Neuroscience
Zheng, Tong
Liauchuk, Vitali
Zhou, Ziqi
Moltz, Jan
Oliveira, Bruno
Xia, Yong
Maier-Hein, Klaus
Li, Qikai
HUSCH, Andreas  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Interventional Neuroscience
Zhang, Luyang
Kovalev, Vassili
Kang, Li
Hering, Alessa
Vilaça, João
Flores, Mona
Xu, Daguang
Wood, Bradford
Linguraru, Marius
More authors (26 more) Less
Language :
English
Title :
Rapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Publication date :
2021
Focus Area :
Systems Biomedicine
FnR Project :
FNR14702831 - Ai Based Diagnosis Of Covid-19 From Ct/X-ray Imaging, 2020 (01/06/2020-30/11/2020) - Andreas Husch
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since 02 July 2021

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