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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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| Wydane w: | Diagnostics (Basel) |
|---|---|
| Główni autorzy: | , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI
2020
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| Hasła przedmiotowe: | |
| Dostęp online: | 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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