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Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm
PURPOSE: The aim of the current study was to develop a computer-assisted detection system based on a deep convolutional neural network (CNN) algorithm and to evaluate the potential usefulness and accuracy of this system for the diagnosis and prediction of periodontally compromised teeth (PCT). METHO...
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| Publicat a: | J Periodontal Implant Sci |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Korean Academy of Periodontology
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5944222/ https://ncbi.nlm.nih.gov/pubmed/29770240 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5051/jpis.2018.48.2.114 |
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