Deep learning-based detection of dental prostheses and restorations

The purpose of this study is to develop a method for recognizing dental prostheses and restorations of teeth using a deep learning. A dataset of 1904 oral photographic images of dental arches (maxilla: 1084 images; mandible: 820 images) was used in the study. A deep-learning method to recognize the...

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Detalles Bibliográficos
Autores principales: Takahashi, Toshihito, Nozaki, Kazunori, Gonda, Tomoya, Mameno, Tomoaki, Ikebe, Kazunori
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/PMC7820223/
https://www.ncbi.nlm.nih.gov/pubmed/33479303
http://dx.doi.org/10.1038/s41598-021-81202-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820223/
https://www.ncbi.nlm.nih.gov/pubmed/33479303
http://dx.doi.org/10.1038/s41598-021-81202-x

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