Deep learning-based dental implant recognition using synthetic X-ray images

ABSTRACT: A novel algorithm for generating artificial training samples from triangulated three-dimensional (3D) surface models within the context of dental implant recognition is proposed. The proposed algorithm is based on the calculation of two-dimensional (2D) projections (from a number of differ...

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Detalles Bibliográficos
Autores principales: Kohlakala, Aviwe, Coetzer, Johannes, Bertels, Jeroen, Vandermeulen, Dirk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385426/
https://www.ncbi.nlm.nih.gov/pubmed/35978215
http://dx.doi.org/10.1007/s11517-022-02642-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385426/
https://www.ncbi.nlm.nih.gov/pubmed/35978215
http://dx.doi.org/10.1007/s11517-022-02642-9

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