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

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 segmentation g...

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Detalles Bibliográficos
Autores principales: Lin, Xi, Xin, Weini, Huang, Jingna, Jing, Yang, Liu, Pengfei, Han, Jingdan, Ji, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416403/
https://www.ncbi.nlm.nih.gov/pubmed/37563606
http://dx.doi.org/10.1186/s12903-023-03279-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416403/
https://www.ncbi.nlm.nih.gov/pubmed/37563606
http://dx.doi.org/10.1186/s12903-023-03279-2

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