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Application of artificial intelligence in lateral cephalometric analysis.

作者信息

Lee Huang-Ting, Chiu Po-Yuan, Yen Chen-Wen, Chou Szu-Ting, Tseng Yu-Chuan

机构信息

School of Dentistry, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.

Department of Orthodontics, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.

出版信息

J Dent Sci. 2024 Apr;19(2):1157-1164. doi: 10.1016/j.jds.2023.12.006. Epub 2023 Dec 13.

DOI:10.1016/j.jds.2023.12.006

PMID:38618076

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11010784/

Abstract

摘要

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fade/11010784/394f8099be91/gr1.jpg

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Deep learning for cephalometric landmark detection: systematic review and meta-analysis.

Clin Oral Investig. 2021 Jul;25(7):4299-4309. doi: 10.1007/s00784-021-03990-w. Epub 2021 May 27.

Three-dimensional evaluation of dentofacial transverse widths of adults with various vertical facial patterns.

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Radiology. 2017 Dec;285(3):719-720. doi: 10.1148/radiol.2017171734.

Fully automated quantitative cephalometry using convolutional neural networks.

J Med Imaging (Bellingham). 2017 Jan;4(1):014501. doi: 10.1117/1.JMI.4.1.014501. Epub 2017 Jan 6.

Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms.

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Cephalometric landmark variability among orthodontists and dentomaxillofacial radiologists: a comparative study.

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