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...

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Pubblicato in:BMC Med Imaging
Autori principali: Bayrakdar, Sevda Kurt, Orhan, Kaan, Bayrakdar, Ibrahim Sevki, Bilgir, Elif, Ezhov, Matvey, Gusarev, Maxim, Shumilov, Eugene
Natura: Artigo
Lingua:Inglês
Pubblicazione: BioMed Central 2021
Soggetti:
Research
Accesso 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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