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A Performance Comparison between Automated Deep Learning and Dental Professionals in Classification of Dental Implant Systems from Dental Imaging: A Multi-Center Study

In this study, the efficacy of the automated deep convolutional neural network (DCNN) was evaluated for the classification of dental implant systems (DISs) and the accuracy of the performance was compared against that of dental professionals using dental radiographic images collected from three dent...

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Bibliografische gegevens
Gepubliceerd in:Diagnostics (Basel)
Hoofdauteurs: Lee, Jae-Hong, Kim, Young-Taek, Lee, Jong-Bin, Jeong, Seong-Nyum
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI 2020
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7694989/
https://ncbi.nlm.nih.gov/pubmed/33171758
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics10110910
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