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Artificial intelligence in digital cariology: a new tool for the diagnosis of deep caries and pulpitis using convolutional neural networks
BACKGROUND: An accurate diagnosis of deep caries and pulpitis on periapical radiographs is a clinical challenge. METHODS: A total of 844 radiographs were included in this study. Of the 844, 717 (85%) were used for training and 127 (15%) were used for testing the three convolutional neural networks (...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AME Publishing Company
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8246233/ https://www.ncbi.nlm.nih.gov/pubmed/34268376 http://dx.doi.org/10.21037/atm-21-119 |