Impact of Image Context on Deep Learning for Classification of Teeth on Radiographs

Objectives: We aimed to assess the impact of image context information on the accuracy of deep learning models for tooth classification on panoramic dental radiographs. Methods: Our dataset contained 5008 panoramic radiographs with a mean number of 25.2 teeth per image. Teeth were segmented bounding...

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Detalles Bibliográficos
Autores principales: Krois, Joachim, Schneider, Lisa, Schwendicke, Falk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068972/
https://www.ncbi.nlm.nih.gov/pubmed/33921440
http://dx.doi.org/10.3390/jcm10081635

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068972/
https://www.ncbi.nlm.nih.gov/pubmed/33921440
http://dx.doi.org/10.3390/jcm10081635

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