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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Korean Academy of Periodontology
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944222/ https://www.ncbi.nlm.nih.gov/pubmed/29770240 http://dx.doi.org/10.5051/jpis.2018.48.2.114 |