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Automated deep learning-based bone mineral density assessment for opportunistic osteoporosis screening using various CT protocols with multi-vendor scanners

Crossref DOI link: https://doi.org/10.1038/s41598-024-73709-w

Published Online: 2024-10-23

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

Authors

Park, Heejun

Kang, Woo Young

Woo, Ok Hee

Lee, Jemyoung

Yang, Zepa

Oh, Sangseok
Funding

Funding for this research was provided by:

The Ministry of Trade, Industry & Energy (20010927, NTIS#1415169348)

the Ministry of Small and Medium-sized Enterprises (SMEs) and Startups (S2844049, NTIS #1425142385)
License Information

Text and Data Mining valid from 2024-10-23

Version of Record valid from 2024-10-23
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Article History

Received: 27 February 2024

Accepted: 20 September 2024

First Online: 23 October 2024

Declarations

:

: The authors declare no competing interests.

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