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Computerized classification method for significant coronary artery stenosis on whole-heart coronary MRA using 3D convolutional neural networks with attention mechanisms

Crossref DOI link: https://doi.org/10.1007/s12194-024-00875-x

Published Online: 2024-12-31

Published Print: 2025-03

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

Authors

Shiomi, Takuma

Nakayama, Ryohei https://orcid.org/0000-0003-0181-7496
Hizukuri, Akiyoshi

Takafuji, Masafumi

Ishida, Masaki

Sakuma, Hajime
Funding

Funding for this research was provided by:

JSPS KAKENHI (24K15776)
License Information

Text and Data Mining valid from 2024-12-31

Version of Record valid from 2024-12-31
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Article History

Received: 12 October 2024

Revised: 13 December 2024

Accepted: 23 December 2024

First Online: 31 December 2024

Declarations

:

: The authors declare no conflicts of interest.

: Ethical approval for the use of cases was obtained from the institutional review boards (IRB) of both authors.

: The institutional review board approved this retrospective study and waived the requirement for informed consent.

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