Accuracy of artificial intelligence in the detection and segmentation of oral and maxillofacial structures using cone-beam computed tomography images: a systematic review and meta-analysis

PURPOSE: The aim of the present systematic review and meta-analysis was to resolve the conflicts on the diagnostic accuracy of artificial intelligence systems in detecting and segmenting oral and maxillofacial structures using cone-beam computed tomography (CBCT) images. MATERIAL AND METHODS: We per...

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Detalles Bibliográficos
Autores principales: Abesi, Farida, Jamali, Atena Sadat, Zamani, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2023
Materias:
Review Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280367/
https://www.ncbi.nlm.nih.gov/pubmed/37346426
http://dx.doi.org/10.5114/pjr.2023.127624

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280367/
https://www.ncbi.nlm.nih.gov/pubmed/37346426
http://dx.doi.org/10.5114/pjr.2023.127624

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