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Application of a pulmonary nodule detection program using AI technology to ultra-low-dose CT: differences in detection ability among various image reconstruction methods

Crossref DOI link: https://doi.org/10.1007/s11604-025-01781-x

Published Online: 2025-05-09

Published Print: 2025-08

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

Authors

Tsuchiya, Nanae https://orcid.org/0000-0003-2556-8287
Kobayashi, Shifumi

Nakachi, Ryo

Tomori, Yukari

Yogi, Akira

Iida, Gyo

Ito, Junji

Nishie, Akihiro
Funding

Funding for this research was provided by:

Bayer Academic Support (BASJ20230425026)
License Information

Text and Data Mining valid from 2025-05-09

Version of Record valid from 2025-05-09
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Article History

Received: 27 December 2024

Accepted: 25 March 2025

First Online: 9 May 2025

Declarations

:

: Akihiro Nishie received funding from Canon Medical.

: Not applicable.

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