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Dou, Q.* ; So, T.Y.* ; Jiang, M.* ; Liu, Q.* ; Vardhanabhuti, V.* ; Kaissis, G.* ; Li, Z.* ; Si, W.* ; Lee, H.H.C.* ; Yu, K.* ; Feng, Z.* ; Dong, L.* ; Burian, E.* ; Jungmann, F.* ; Braren, R.* ; Makowski, M.* ; Kainz, B.* ; Rueckert, D.* ; Glocker, B.* ; Yu, S.C.H.* ; Heng, P.A.*

Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: A privacy-preserving multinational validation study.

NPJ Digit. Med. 5:56 (2022)
Correction DOI PMC
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Publication type Other: Correction, Addition
Language english
Publication Year 2022
HGF-reported in Year 2022
ISSN (print) / ISBN 2398-6352
e-ISSN 2398-6352
Journal NPJ digital medicine
Quellenangaben Volume: 5, Issue: 1, Pages: , Article Number: 56 Supplement: ,
Publisher Nature Publishing Group
Reviewing status Peer reviewed
Institute(s) Helmholtz Artifical Intelligence Cooperation Unit (HAICU)
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-530014-001
DOI 10.1038/s41746-022-00600-1
PubMed ID 35462562
Erfassungsdatum 2022-09-13
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