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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| Main Authors: | , , , , , , |
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| Format: | Book |
| Published: |
BMC,
2023-08-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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