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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
Publicado en:J Clin Med
Autores principales: Krois, Joachim, Schneider, Lisa, Schwendicke, Falk
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI 2021
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC8068972/
https://ncbi.nlm.nih.gov/pubmed/33921440
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jcm10081635
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