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A novel algorithm developed using machine learning and a J-ACCESS database can estimate defect scores from myocardial perfusion single-photon emission tomography images

Crossref DOI link: https://doi.org/10.1007/s12149-024-01971-z

Published Online: 2024-08-29

Published Print: 2024-12

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

Authors

Kiso, Keisuke

Nakajima, Kenichi https://orcid.org/0000-0001-7188-8746
Nimura, Yukitaka

Nishimura, Tsunehiko
Funding

Funding for this research was provided by:

Japan Cardiovascular Research Foundation

JSPS Grants-in-Aid for Scientific Research (23K07203)

Kanazawa University
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Text and Data Mining valid from 2024-08-29

Version of Record valid from 2024-08-29
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Article History

Received: 15 June 2024

Accepted: 17 August 2024

First Online: 29 August 2024

Declarations

:

: K. Nakajima belonged to a department endowed by PDRadiopharma (Tokyo, Japan), Nihon Medi-Physics (Tokyo, Japan), and Siemens Healthcare (Tokyo, Japan).

: The institutional review board of Tohoku University and the ethics committees of all other facilities that participated in J-ACCESS 3 and 4 approved this study.

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