Diagnosis of interproximal caries lesions with deep convolutional neural network in digital bitewing radiographs

OBJECTIVES: This study aimed to investigate the effectiveness of deep convolutional neural network (CNN) in the diagnosis of interproximal caries lesions in digital bitewing radiographs. METHODS AND MATERIALS: A total of 1,000 digital bitewing radiographs were randomly selected from the database. Of...

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Detalles Bibliográficos
Autores principales: Bayraktar, Yusuf, Ayan, Enes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8232993/
https://www.ncbi.nlm.nih.gov/pubmed/34173051
http://dx.doi.org/10.1007/s00784-021-04040-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8232993/
https://www.ncbi.nlm.nih.gov/pubmed/34173051
http://dx.doi.org/10.1007/s00784-021-04040-1

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