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Deep learning and clustering approaches for dental implant size classification based on periapical radiographs

Abstract This study investigated two artificial intelligence (AI) methods for automatically classifying dental implant diameter and length based on periapical radiographs. The first method, deep learning (DL), involved utilizing the pre-trained VGG16 model and adjusting the fine-tuning degree to ana...

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Bibliografiset tiedot
Päätekijät: Ji-Hyun Park, Hong Seok Moon, Hoi-In Jung, JaeJoon Hwang, Yoon-Ho Choi, Jong-Eun Kim
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Nature Portfolio 2023-10-01
Sarja:Scientific Reports
Linkit:https://doi.org/10.1038/s41598-023-42385-7
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