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Area detection improves the person-based performance of a deep learning system for classifying the presence of carotid artery calcifications on panoramic radiographs

Crossref DOI link: https://doi.org/10.1007/s11282-025-00843-0

Published Online: 2025-07-22

Published Print: 2026-01

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

Authors

Kuwada, Chiaki https://orcid.org/0000-0002-0065-5192
Mitsuya, Yuta

Fukuda, Motoki

Yang, Sujin

Kise, Yoshitaka

Mori, Mizuho

Naitoh, Munetaka

Ariji, Yoshiko

Ariji, Eiichiro
License Information

Text and Data Mining valid from 2025-07-22

Version of Record valid from 2025-07-22
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Article History

Received: 5 March 2025

Accepted: 2 July 2025

First Online: 22 July 2025

Declarations

:

: The authors have no conflicts of interest to declare.

: All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2008 (5).

: Informed consent was obtained from all patients included in the study.

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