Mandible Segmentation of Dental CBCT Scans Affected by Metal Artifacts Using Coarse-to-Fine Learning Model

Accurate segmentation of the mandible from cone-beam computed tomography (CBCT) scans is an important step for building a personalized 3D digital mandible model for maxillofacial surgery and orthodontic treatment planning because of the low radiation dose and short scanning duration. CBCT images, ho...

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Detalles Bibliográficos
Autores principales: Qiu, Bingjiang, van der Wel, Hylke, Kraeima, Joep, Glas, Haye Hendrik, Guo, Jiapan, Borra, Ronald J. H., Witjes, Max Johannes Hendrikus, van Ooijen, Peter M. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8232763/
https://www.ncbi.nlm.nih.gov/pubmed/34208429
http://dx.doi.org/10.3390/jpm11060560

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8232763/
https://www.ncbi.nlm.nih.gov/pubmed/34208429
http://dx.doi.org/10.3390/jpm11060560

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