Improved Diagnostic Accuracy of Ameloblastoma and Odontogenic Keratocyst on Cone-Beam CT by Artificial Intelligence

OBJECTIVE: The purpose of this study was to utilize a convolutional neural network (CNN) to make preoperative differential diagnoses between ameloblastoma (AME) and odontogenic keratocyst (OKC) on cone-beam CT (CBCT). METHODS: The CBCT images of 178 AMEs and 172 OKCs were retrospectively retrieved f...

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Detalles Bibliográficos
Autores principales: Chai, Zi-Kang, Mao, Liang, Chen, Hua, Sun, Ting-Guan, Shen, Xue-Meng, Liu, Juan, Sun, Zhi-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828501/
https://www.ncbi.nlm.nih.gov/pubmed/35155194
http://dx.doi.org/10.3389/fonc.2021.793417

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828501/
https://www.ncbi.nlm.nih.gov/pubmed/35155194
http://dx.doi.org/10.3389/fonc.2021.793417

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