Hyperparameter Tuning and Automatic Image Augmentation for Deep Learning-Based Angle Classification on Intraoral Photographs—A Retrospective Study

We aimed to assess the effects of hyperparameter tuning and automatic image augmentation for deep learning-based classification of orthodontic photographs along the Angle classes. Our dataset consisted of 605 images of Angle class I, 1038 images of class II, and 408 images of class III. We trained R...

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Detalles Bibliográficos
Autores principales: Cejudo Grano de Oro, José Eduardo, Koch, Petra Julia, Krois, Joachim, Garcia Cantu Ros, Anselmo, Patel, Jay, Meyer-Lueckel, Hendrik, Schwendicke, Falk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319779/
https://www.ncbi.nlm.nih.gov/pubmed/35885432
http://dx.doi.org/10.3390/diagnostics12071526

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319779/
https://www.ncbi.nlm.nih.gov/pubmed/35885432
http://dx.doi.org/10.3390/diagnostics12071526

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