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

• 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.
• Subjects: article
• Online Access: Connect to this object online.

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...