Artificial Intelligence (AI) for Detection and Localization of Unobturated Second Mesial Buccal (MB2) Canals in Cone-Beam Computed Tomography (CBCT)

The aim of this study was to develop a deep learning model to automatically detect and segment unobturated mesial buccal 2 (MB2) canals on endodontically obturated maxillary molars depicted in CBCT studies. Fifty-seven deidentified CBCT studies of maxillary molars with clinically confirmed unobturat...

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Detalles Bibliográficos
Autores principales: Albitar, Lina, Zhao, Tianyun, Huang, Chuan, Mahdian, Mina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777585/
https://www.ncbi.nlm.nih.gov/pubmed/36553221
http://dx.doi.org/10.3390/diagnostics12123214

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777585/
https://www.ncbi.nlm.nih.gov/pubmed/36553221
http://dx.doi.org/10.3390/diagnostics12123214

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