Tooth caries classification with quantitative light-induced fluorescence (QLF) images using convolutional neural network for permanent teeth in vivo

Tooth caries classification with quantitative light-induced fluorescence (QLF) images using convolutional neural network for permanent teeth in vivo

Abstract Background Owing to the remarkable advancements of artificial intelligence (AI) applications, AI-based detection of dental caries is continuously improving. We evaluated the efficacy of the detection of dental caries with quantitative light-induced fluorescence (QLF) images using a convolut...

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Bibliographic Details
Main Authors: Eun Young Park, Sungmoon Jeong, Sohee Kang, Jungrae Cho, Ju-Yeon Cho, Eun-Kyong Kim
Format: Article
Language:English
Published: BMC 2023-12-01
Series:BMC Oral Health
Subjects:
Artificial intelligence
Convolutional neural network
Deep learning
Quantitative light-induced fluorescence
Tooth surface segmentation
Online Access:https://doi.org/10.1186/s12903-023-03669-6

Internet

https://doi.org/10.1186/s12903-023-03669-6

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