Identification of dental implants using deep learning—pilot study

BACKGROUND: In some cases, a dentist cannot solve the difficulties a patient has with an implant because the implant system is unknown. Therefore, there is a need for a system for identifying the implant system of a patient from limited data that does not depend on the dentist’s knowledge and experi...

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Detalles Bibliográficos
Autores principales: Takahashi, Toshihito, Nozaki, Kazunori, Gonda, Tomoya, Mameno, Tomoaki, Wada, Masahiro, Ikebe, Kazunori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505912/
https://www.ncbi.nlm.nih.gov/pubmed/32959154
http://dx.doi.org/10.1186/s40729-020-00250-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505912/
https://www.ncbi.nlm.nih.gov/pubmed/32959154
http://dx.doi.org/10.1186/s40729-020-00250-6

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