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Transfer Learning via Deep Neural Networks for Implant Fixture System Classification Using Periapical Radiographs
In the absence of accurate medical records, it is critical to correctly classify implant fixture systems using periapical radiographs to provide accurate diagnoses and treatments to patients or to respond to complications. The purpose of this study was to evaluate whether deep neural networks can id...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7230319/ https://www.ncbi.nlm.nih.gov/pubmed/32295304 http://dx.doi.org/10.3390/jcm9041117 |