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Evaluation of the accuracy of detecting C-shaped canals in mandibular second molars identified by cone-beam computed tomography on panoramic radiographs using artificial intelligence algorithms developed with deep learning methods

Crossref DOI link: https://doi.org/10.1007/s11282-025-00888-1

Published Online: 2026-01-09

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

Authors

Uysal, O. https://orcid.org/0009-0003-3214-8552
Polat, M. https://orcid.org/0000-0002-6496-682X
Akgül, H. M. https://orcid.org/0000-0002-0830-0054
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Text and Data Mining valid from 2026-01-09

Version of Record valid from 2026-01-09
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Article History

Received: 10 February 2025

Accepted: 15 December 2025

First Online: 9 January 2026

Declarations

:

: There is no conflict of interest among the authors.

: Study approval was obtained from the Non-Interventional Clinical Research Ethics Committee of Pamukkale University’s Faculty of Medicine (E60116787-020-353313) (Ek-1).

: Not applicable.

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