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Generalizability of Deep Learning Models for Caries Detection in Near-Infrared Light Transillumination Images
Objectives: The present study aimed to train deep convolutional neural networks (CNNs) to detect caries lesions on Near-Infrared Light Transillumination (NILT) imagery obtained either in vitro or in vivo and to assess the models’ generalizability. Methods: In vitro, 226 extracted posterior permanent...
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| Publicat a: | J Clin Med |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7957685/ https://ncbi.nlm.nih.gov/pubmed/33804562 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jcm10050961 |
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