A Validation Employing Convolutional Neural Network for the Radiographic Detection of Absence or Presence of Teeth

Dental radiography plays an important role in clinical diagnosis, treatment and making decisions. In recent years, efforts have been made on developing techniques to detect objects in images. The aim of this study was to detect the absence or presence of teeth using an effective convolutional neural...

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Detalles Bibliográficos
Autores principales: Prados-Privado, María, García Villalón, Javier, Blázquez Torres, Antonio, Martínez-Martínez, Carlos Hugo, Ivorra, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001963/
https://www.ncbi.nlm.nih.gov/pubmed/33809045
http://dx.doi.org/10.3390/jcm10061186

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001963/
https://www.ncbi.nlm.nih.gov/pubmed/33809045
http://dx.doi.org/10.3390/jcm10061186

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