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Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan

Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie Harmon, Sheng Xu, Barış Türkbey, Evrim Türkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu

2021Medical Image Analysis267 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceCoronavirus disease 2019 (COVID-19)Artificial intelligenceSegmentationSupervised learningMachine learningData miningMedical physicsMedicineDiseaseArtificial neural networkPathologyInfectious disease (medical specialty)COVID-19 diagnosis using AIRadiomics and Machine Learning in Medical ImagingAnomaly Detection Techniques and Applications
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan | Litcius