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Deep learning-assisted CBCT segmentation provides reliable volumetric assessment of mandibular defects compared with micro-CT for 3D printing and surgical planning

Crossref DOI link: https://doi.org/10.1038/s41598-025-24748-4

Published Online: 2025-10-28

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

Authors

Shalalvand, Mohsen

Haghanifar, Sina

Moudi, Ehsan

Bijani, Ali
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Text and Data Mining valid from 2025-10-28

Version of Record valid from 2025-10-28
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Article History

Received: 16 April 2025

Accepted: 15 October 2025

First Online: 28 October 2025

Declarations

:

: The authors declare no competing interests.

: All stages of the study were conducted after obtaining approval from the Ethics Committee of Babol University of Medical Sciences (approval code: IR.MUBABOL.AEC.1403.015).

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