Detection of dental caries in oral photographs taken by mobile phones based on the YOLOv3 algorithm

BACKGROUND: The aim of this study was to explore the value of using the YOLOv3 algorithm for detection and diagnosis of dental caries in oral photographs taken with mobile phones. METHODS: Oral photographs taken with the mobile phones of 570 patients were used as 3 datasets: the augmented images (n=...

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Detalles Bibliográficos
Autores principales: Ding, Baichen, Zhang, Zhuo, Liang, Yiran, Wang, Weiwei, Hao, Siwei, Meng, Ze, Guan, Lian, Hu, Ying, Guo, Bin, Zhao, Runlian, Lv, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640896/
https://www.ncbi.nlm.nih.gov/pubmed/34926666
http://dx.doi.org/10.21037/atm-21-4805

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640896/
https://www.ncbi.nlm.nih.gov/pubmed/34926666
http://dx.doi.org/10.21037/atm-21-4805

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