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External validation of the performance of commercially available deep-learning-based lung nodule detection on low-dose CT images for lung cancer screening in Japan

Crossref DOI link: https://doi.org/10.1007/s11604-024-01704-2

Published Online: 2024-11-30

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

Authors

Fukumoto, Wataru https://orcid.org/0000-0001-7645-8446
Yamashita, Yuki

Kawashita, Ikuo

Higaki, Toru

Sakahara, Asako

Nakamura, Yuko

Awaya, Yoshikazu

Awai, Kazuo
Funding

Funding for this research was provided by:

Hiroshima University
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Text and Data Mining valid from 2024-11-30

Version of Record valid from 2024-11-30
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Article History

Received: 24 July 2024

Accepted: 5 November 2024

First Online: 30 November 2024

Declarations

:

: The authors have no competing interests to declare that are relevant to the context of this article.

: This retrospective study was approved by our institutional review board; prior informed consent was waived.

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