Development and verification of a convolutional neural network-based model for automatic mandibular canal localization on multicenter CBCT images

Development and verification of a convolutional neural network-based model for automatic mandibular canal localization on multicenter CBCT images

Abstract Objectives Development and verification of a convolutional neural network (CNN)-based deep learning (DL) model for mandibular canal (MC) localization on multicenter cone beam computed tomography (CBCT) images. Methods In this study, a total 1056 CBCT scans in multiple centers were collected...

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Bibliographic Details
Main Authors: Xiao Pan, Chengtao Wang, Xuhui Luo, Qi Dong, Haiyang Sun, Wentao Zhang, Hongyan Qu, Runzhi Deng, Zitong Lin
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Oral Health
Subjects:
Cone beam computed tomography
Mandibular canal
Convolutional neural network
Localization
Online Access:https://doi.org/10.1186/s12903-025-06724-6
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https://doi.org/10.1186/s12903-025-06724-6

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