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Deep learning and sub-band fluorescence imaging-based method for caries and calculus diagnosis embeddable on different smartphones
C. Wang, R. Zhang, X. Wei, L. Wang, P. Wu and Q. Yao
2023
发表期刊Biomedical Optics Express
ISSN21567085
卷号14期号:2页码:866-882
摘要Popularizing community and home early caries screening is essential for caries prevention and treatment. However, a high-precision, low-cost, and portable automated screening tool is currently lacking. This study constructed an automated diagnosis model for dental caries and calculus using fluorescence sub-band imaging combined with deep learning. The proposed method is divided into two stages: the first stage collects imaging information of dental caries in different fluorescence spectral bands and obtains six-channel fluorescence images. The second stage employs a 2-D-3-D hybrid convolutional neural network combined with the attention mechanism for classification and diagnosis. The experiments demonstrate that the method has competitive performance compared to existing methods. In addition, the feasibility of transferring this approach to different smartphones is discussed. This highly accurate, low-cost, portable method has potential applications in community and at-home caries detection. © 2023 Optica Publishing Group.
DOI10.1364/BOE.479818
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收录类别sci ; ei
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文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/67914
专题中国科学院长春光学精密机械与物理研究所
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GB/T 7714
C. Wang, R. Zhang, X. Wei, L. Wang, P. Wu and Q. Yao. Deep learning and sub-band fluorescence imaging-based method for caries and calculus diagnosis embeddable on different smartphones[J]. Biomedical Optics Express,2023,14(2):866-882.
APA C. Wang, R. Zhang, X. Wei, L. Wang, P. Wu and Q. Yao.(2023).Deep learning and sub-band fluorescence imaging-based method for caries and calculus diagnosis embeddable on different smartphones.Biomedical Optics Express,14(2),866-882.
MLA C. Wang, R. Zhang, X. Wei, L. Wang, P. Wu and Q. Yao."Deep learning and sub-band fluorescence imaging-based method for caries and calculus diagnosis embeddable on different smartphones".Biomedical Optics Express 14.2(2023):866-882.
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