Accurate mandibular canal segmentation of dental CBCT using a two-stage 3D-UNet based segmentation framework

Abstract Objectives The objective of this study is to develop a deep learning (DL) model for fast and accurate mandibular canal (MC) segmentation on cone beam computed tomography (CBCT). Methods A total of 220 CBCT scans from dentate subjects needing oral surgery were used in this study. The segment...

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Bibliographic Details
Main Authors: Xi Lin (Author), Weini Xin (Author), Jingna Huang (Author), Yang Jing (Author), Pengfei Liu (Author), Jingdan Han (Author), Jie Ji (Author)
Format: Book
Published: BMC, 2023-08-01T00:00:00Z.
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