Classification of Approximal Caries in Bitewing Radiographs Using Convolutional Neural Networks

Dental caries is an extremely common problem in dentistry that affects a significant part of the population. Approximal caries are especially difficult to identify because their position makes clinical analysis difficult. Radiographic evaluation—more specifically, bitewing images—are mostly used in...

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Detalles Bibliográficos
Autores principales: Moran, Maira, Faria, Marcelo, Giraldi, Gilson, Bastos, Luciana, Oliveira, Larissa, Conci, Aura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347840/
https://www.ncbi.nlm.nih.gov/pubmed/34372429
http://dx.doi.org/10.3390/s21155192

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347840/
https://www.ncbi.nlm.nih.gov/pubmed/34372429
http://dx.doi.org/10.3390/s21155192

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