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Classification of Dental Radiographs Using Deep Learning
Objectives: To retrospectively assess radiographic data and to prospectively classify radiographs (namely, panoramic, bitewing, periapical, and cephalometric images), we compared three deep learning architectures for their classification performance. Methods: Our dataset consisted of 31,288 panorami...
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| Publicado no: | J Clin Med |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8038360/ https://ncbi.nlm.nih.gov/pubmed/33916800 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jcm10071496 |
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