The application of deep learning in early enamel demineralization detection

The application of deep learning in early enamel demineralization detection

Objective The study aims to develop a diagnostic model using intraoral photographs to accurately detect and classify early detection of enamel demineralization on tooth surfaces. Methods A retrospective analysis was conducted with 208 patients aged 14 to 44. A total of 624 high-quality digital image...

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Bibliographic Details
Main Authors: Ketai He, Rongxiu Zhang, Muchun Liang, Keyue Tian, Kaihui Luo, Ruoshi Chen, Jianpeng Ren, Jiajun Wang, Juan Li
Format: Article
Language:English
Published: PeerJ Inc. 2025-01-01
Series:PeerJ
Subjects:
Artificial intelligence
Diagnostic imaging
Deep learning
Tooth demineralization
Online Access:https://peerj.com/articles/18593.pdf
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