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  5. Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
 
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Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
File(s)
s41746-022-00600-1.pdf (240.97 KB)
Published version
OA Location
https://www.nature.com/articles/s41746-021-00431-6
Author(s)
Dou, Qi
So, Tiffany Y
Jiang, Meirui
Liu, Quande
Vardhanabhuti, Varut
more
Type
Journal Article
Abstract
Correction to: npj Digital Medicine https://doi.org/10.1038/s41746-021-00431-6, published online 29 March 2021
Date Issued
2022-04-24
Date Acceptance
2022-04-24
Citation
npj Digital Medicine, 2022, 5 (1)
URI
http://hdl.handle.net/10044/1/97103
DOI
https://www.dx.doi.org/10.1038/s41746-022-00600-1
ISSN
2398-6352
Publisher
Nature Research
Journal / Book Title
npj Digital Medicine
Volume
5
Issue
1
Copyright Statement
© The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
License URL
http://creativecommons.org/licenses/by/4.0/
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000786391800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Health Care Sciences & Services
Medical Informatics
Publication Status
Published
Article Number
ARTN 56
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