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A deep learning approach for dental implant planning in cone-beam computed tomography images
BACKGROUND: The aim of this study was to evaluate the success of the artificial intelligence (AI) system in implant planning using three-dimensional cone-beam computed tomography (CBCT) images. METHODS: Seventy-five CBCT images were included in this study. In these images, bone height and thickness...
Zapisane w:
| Wydane w: | BMC Med Imaging |
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| Główni autorzy: | , , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
BioMed Central
2021
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8132372/ https://ncbi.nlm.nih.gov/pubmed/34011314 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12880-021-00618-z |
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