Artificial intelligence-based diagnostics of molar-incisor-hypomineralization (MIH) on intraoral photographs

OBJECTIVE: The aim of this study was to develop and validate a deep learning–based convolutional neural network (CNN) for the automated detection and categorization of teeth affected by molar-incisor-hypomineralization (MIH) on intraoral photographs. MATERIALS AND METHODS: The data set consisted of...

Descripción completa

Detalles Bibliográficos
Autores principales: Schönewolf, Jule, Meyer, Ole, Engels, Paula, Schlickenrieder, Anne, Hickel, Reinhard, Gruhn, Volker, Hesenius, Marc, Kühnisch, Jan
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/PMC9474479/
https://www.ncbi.nlm.nih.gov/pubmed/35608684
http://dx.doi.org/10.1007/s00784-022-04552-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9474479/
https://www.ncbi.nlm.nih.gov/pubmed/35608684
http://dx.doi.org/10.1007/s00784-022-04552-4

Ejemplares similares