Artificial intelligence in digital cariology: a new tool for the diagnosis of deep caries and pulpitis using convolutional neural networks

BACKGROUND: An accurate diagnosis of deep caries and pulpitis on periapical radiographs is a clinical challenge. METHODS: A total of 844 radiographs were included in this study. Of the 844, 717 (85%) were used for training and 127 (15%) were used for testing the three convolutional neural networks (...

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Detalles Bibliográficos
Autores principales: Zheng, Liwen, Wang, Haolin, Mei, Li, Chen, Qiuman, Zhang, Yuxin, Zhang, Hongmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8246233/
https://www.ncbi.nlm.nih.gov/pubmed/34268376
http://dx.doi.org/10.21037/atm-21-119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8246233/
https://www.ncbi.nlm.nih.gov/pubmed/34268376
http://dx.doi.org/10.21037/atm-21-119

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