Dental caries diagnosis using neural networks and deep learning: a systematic review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16599-w.pdf
Reference55 articles.
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2. Prasai Dixit L, Shakya A, Shrestha M, Shrestha A (2013) Dental caries prevalence, oral health knowledge and practice among indigenous Chepang school children of Nepal. BMC Oral Health 13:1–5. https://doi.org/10.1186/1472-6831-13-20
3. Ismail AI (2004) Visual and Visuo-tactile. J Dent Educ 83:56–66
4. Karlsson L (2010) Caries detection methods based on changes in optical properties between healthy and carious tissue. Int J Dent 2010:1–9. https://doi.org/10.1155/2010/270729
5. Lian L, Zhu T, Zhu F, Zhu H (2021) Deep learning for caries detection and classification. Diagnostics 11. https://doi.org/10.3390/DIAGNOSTICS11091672
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