Deep learning-based fully automatic segmentation of the maxillary sinus on cone-beam computed tomographic images

The detection of maxillary sinus wall is important in dental fields such as implant surgery, tooth extraction, and odontogenic disease diagnosis. The accurate segmentation of the maxillary sinus is required as a cornerstone for diagnosis and treatment planning. This study proposes a deep learning-ba...

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Detalles Bibliográficos
Autores principales: Choi, Hanseung, Jeon, Kug Jin, Kim, Young Hyun, Ha, Eun-Gyu, Lee, Chena, Han, Sang-Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385721/
https://www.ncbi.nlm.nih.gov/pubmed/35978086
http://dx.doi.org/10.1038/s41598-022-18436-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385721/
https://www.ncbi.nlm.nih.gov/pubmed/35978086
http://dx.doi.org/10.1038/s41598-022-18436-w

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