Cargando…
Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning
Accurate segmentation of the jaw (i.e., mandible and maxilla) and the teeth in cone beam computed tomography (CBCT) scans is essential for orthodontic diagnosis and treatment planning. Although various (semi)automated methods have been proposed to segment the jaw or the teeth, there is still a lack...
Autores principales: | Wang, H., Minnema, J., Batenburg, K.J., Forouzanfar, T., Hu, F.J., Wu, G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293763/ https://www.ncbi.nlm.nih.gov/pubmed/33783247 http://dx.doi.org/10.1177/00220345211005338 |
Ejemplares similares
-
A review on the application of deep learning for CT reconstruction, bone segmentation and surgical planning in oral and maxillofacial surgery
por: Minnema, Jordi, et al.
Publicado: (2022) -
Deep Learning-Based Multiclass Brain Tissue Segmentation in Fetal MRIs
por: Huang, Xiaona, et al.
Publicado: (2023) -
Deep Learning-Based Multiclass Instance Segmentation for Dental Lesion Detection
por: Fatima, Anum, et al.
Publicado: (2023) -
CBCT imaging – A boon to orthodontics
por: Machado, Genevive L.
Publicado: (2014) -
Automatic multiclass intramedullary spinal cord tumor segmentation on MRI with deep learning
por: Lemay, Andreanne, et al.
Publicado: (2021)