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

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作者： Ji-Hyun,Park ^[1] ; Hong Seok,Moon ^[1] ; Hoi-In,Jung ^[2] ; JaeJoon,Hwang ^[3] ; Yoon-Ho,Choi ^[4] ; Jong-Eun,Kim ^[5]

作者单位： Department of Prosthodontics, Yonsei University College of Dentistry, Yonsei-ro 50-1, Seodaemun-gu, Seoul, 03722, Korea. ^[1] Department of Preventive Dentistry and Public Oral Health, Yonsei University College of Dentistry, Seoul, 03722, Korea. ^[2] Department of Oral and Maxillofacial Radiology, School of Dentistry, Dental Research Institute, Pusan National University, Busan, 50612, Korea. ^[3] School of Computer Science and Engineering, Pusan National University, Busan, 46241, Korea. ^[4] Department of Prosthodontics, Yonsei University College of Dentistry, Yonsei-ro 50-1, Seodaemun-gu, Seoul, 03722, Korea. gomyou@yuhs.ac. ^[5]

主题词算法(Algorithms);人工智能(Artificial Intelligence);聚类分析(Cluster Analysis);牙种植体(Dental Implants)

DOI 10.1038/s41598-023-42385-7

PMID 37803022

发布时间 2024-07-24

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