Performance of deep learning technology for evaluation of positioning quality in periapical radiography of the maxillary canine

OBJECTIVES: The aim of the present study was to create and test an automatic system for assessing the technical quality of positioning in periapical radiography of the maxillary canines using deep learning classification and segmentation techniques. METHODS: We created and tested two deep learning s...

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Detalles Bibliográficos
Autores principales: Mori, Mizuho, Ariji, Yoshiko, Fukuda, Motoki, Kitano, Tomoya, Funakoshi, Takuma, Nishiyama, Wataru, Kohinata, Kiyomi, Iida, Yukihiro, Ariji, Eiichiro, Katsumata, Akitoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741711/
https://www.ncbi.nlm.nih.gov/pubmed/34041639
http://dx.doi.org/10.1007/s11282-021-00538-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741711/
https://www.ncbi.nlm.nih.gov/pubmed/34041639
http://dx.doi.org/10.1007/s11282-021-00538-2

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