Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study (npj Digital Medicine, (2021), 4, 1, (60), 10.1038/s41746-021-00431-6)

Qi Dou; Tiffany Y. So; Meirui Jiang; Quande Liu; Varut Vardhanabhuti; Georgios Kaissis; Zeju Li; Weixin Si; Heather H.C. Lee; Kevin Yu; Zuxin Feng; Li Dong; Egon Burian; Friederike Jungmann; Rickmer Braren; Marcus Makowski; Bernhard Kainz; Daniel Rueckert; Ben Glocker; Simon C.H. Yu; Pheng Ann Heng

ArticleOPEN ACCESS

Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study (npj Digital Medicine, (2021), 4, 1, (60), 10.1038/s41746-021-00431-6)

npj Digital Medicine

DOI: 10.1038/s41746-022-00600-1

3Citations

8Readers

Abstract

In this Article the affiliation details for Egon Burian, Friederike Jungmann, Rickmer Braren, and Marcus Makowski were incorrectly given as ‘Department of Emergency Medicine, Peking University ShenZhen Hospital, Shenzhen, Guangdong, China’ but should have been ‘Institute for Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany’. The original article has been corrected.

Cite

CITATION STYLE

APA

Dou, Q., So, T. Y., Jiang, M., Liu, Q., Vardhanabhuti, V., Kaissis, G., … Heng, P. A. (2022, December 1). Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study (npj Digital Medicine, (2021), 4, 1, (60), 10.1038/s41746-021-00431-6). Npj Digital Medicine. Nature Research. https://doi.org/10.1038/s41746-022-00600-1

Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study (npj Digital Medicine, (2021), 4, 1, (60), 10.1038/s41746-021-00431-6)

Abstract

Cite

Register to see more suggestions