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Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis

Crossref DOI link: https://doi.org/10.1038/s42256-023-00629-1

Published Online: 2023-03-20

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Gao, Cong https://orcid.org/0000-0001-6798-8381
Killeen, Benjamin D. https://orcid.org/0000-0003-2511-7929
Hu, Yicheng

Grupp, Robert B. https://orcid.org/0000-0003-3386-5839
Taylor, Russell H. https://orcid.org/0000-0001-6272-1100
Armand, Mehran

Unberath, Mathias https://orcid.org/0000-0002-0055-9950
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Text and Data Mining valid from 2023-03-20

Version of Record valid from 2023-03-20
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Article History

Received: 14 April 2022

Accepted: 6 February 2023

First Online: 20 March 2023

Competing interests

: The authors declare no competing interests.