Deep learning for automated mandibular canal segmentation in CBCT scans.

Objective: This study aims to develop a framework for automated mandibular canal segmentation in cone beam computed tomography (CBCT) scans. The dataset, source code, and trained models are publicly accessible, allowing for reproducibility and further development by the research community. Methods:...

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Bibliographic Details

Published in:	BMC Oral Health Vol. 25; no. 1; pp. 1 - 11
Main Authors:	Huang, Jingna, Jie, Ji, Ma, Huibin, Xie, Shimin, Liao, Huangan, Ouyang, Kexiong, Xin, Weini
Format:	diagnostic images equations & formulas research tables/charts Journal Article
Published:	BioMed Central 10/29/2025
Online Access:	View this record in EBSCOhost