Detection of Proximal Caries Lesions on Bitewing Radiographs Using Deep Learning Method

This study aimed to evaluate the validity of a deep learning-based convolutional neural network (CNN) for detecting proximal caries lesions on bitewing radiographs. A total of 978 bitewing radiographs, 10,899 proximal surfaces, were evaluated by two endodontists and a radiologist, of which 2,719 sur...

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Detalles Bibliográficos
Autores principales: Chen, Xiaotong, Guo, Jiachang, Ye, Jiaxue, Zhang, Mingming, Liang, Yuhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: S. Karger AG 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932834/
https://www.ncbi.nlm.nih.gov/pubmed/36215971
http://dx.doi.org/10.1159/000527418

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932834/
https://www.ncbi.nlm.nih.gov/pubmed/36215971
http://dx.doi.org/10.1159/000527418

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