[Segmentation and validation of mandibular canal and its bifurcation on cone beam CT based on deep learning].

The dentification and segmentation U-net model of mandibular canal on dental CBCT can be reliable and practical for its high segmentation precision and predicting speed.

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PubMed
Published
2025-04-01
Primary Topic
Dental Radiography and Imaging
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article
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[Segmentation and validation of mandibular canal and its bifurcation on cone beam CT based on deep learning].

Shuobo Fang, Xueying Wu, Mingqian Liu, Ye Ye et al.
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PubMed
Dental Radiography and Imaging
article

[Segmentation and validation of mandibular canal and its bifurcation on cone beam CT based on deep learning].

Shuobo Fang, Xueying Wu, Mingqian Liu, Ye Ye, Huitong Lu
article en

Abstract

The dentification and segmentation U-net model of mandibular canal on dental CBCT can be reliable and practical for its high segmentation precision and predicting speed.

PubMedVol. 34(2)
Shanghai Stomatological Hospital (CN)
Openalex Percentile: Top 79%
Dental Radiography and Imaging
OpenAlex
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[Segmentation and validation of mandibular canal and its bifurcation on cone beam CT based on deep learning]. — Shuobo Fang, Xueying Wu, et al. · PubMed (2025) | TGRS Research Map | TGRS