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Automatic detection of periodontal compromised teeth in digital panoramic radiographs using faster regional convolutional neural networks
PURPOSE: Periodontal disease causes tooth loss and is associated with cardiovascular diseases, diabetes, and rheumatoid arthritis. The present study proposes using a deep learning-based object detection method to identify periodontally compromised teeth on digital panoramic radiographs. A faster reg...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Korean Academy of Oral and Maxillofacial Radiology
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7314603/ https://www.ncbi.nlm.nih.gov/pubmed/32601592 http://dx.doi.org/10.5624/isd.2020.50.2.169 |