Classification of caries in third molars on panoramic radiographs using deep learning

The objective of this study is to assess the classification accuracy of dental caries on panoramic radiographs using deep-learning algorithms. A convolutional neural network (CNN) was trained on a reference data set consisted of 400 cropped panoramic images in the classification of carious lesions i...

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Detalles Bibliográficos
Autores principales: Vinayahalingam, Shankeeth, Kempers, Steven, Limon, Lorenzo, Deibel, Dionne, Maal, Thomas, Hanisch, Marcel, Bergé, Stefaan, Xi, Tong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206082/
https://www.ncbi.nlm.nih.gov/pubmed/34131266
http://dx.doi.org/10.1038/s41598-021-92121-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206082/
https://www.ncbi.nlm.nih.gov/pubmed/34131266
http://dx.doi.org/10.1038/s41598-021-92121-2

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