临床口腔医学杂志2025，Vol.41Issue(3)：131-134,4.DOI:10.3969/j.issn.1003-1634.2025.03.002
三维神经网络识别CBCT中上颌磨牙MB2的实验研究
Identification of maxillary molar MB2 in CBCT using three-dimensional neural network
摘要
Abstract
Objective:To compare the ability of two three dimentional neural networks in identifying the second me-siobuccal canals(MB2)of the maxillary molars in cone beam computed tomography(CBCT).Methods:Totally 40 patients'CBCT were included in this study,from which the relevant CBCT images of the maxillary molars'mesiobuccal roots were cropped after selecting with experimental requirements.The Vision Transformer(ViT)and DenseNet121 neural networks were trained separately to analyze and compare their abilities to identify MB2 in maxillary molars.Results:In the test set,DenseNet121 demonstrated superior performance compared to ViT,achieving accuracy,sensitivity,precision,and F1 score of 0.9167,1.0,0.9,and 0.9474,respectively.However,ViT had a slightly higher area under the receiver operating characteris-tic curve(AUC)at 0.86 compared to DenseNet121.Conclusion:Three-dimensional neural networks exhibit high accuracy of detecting MB2 in CBCT images of maxillary molars,with DenseNet121 showing better performance among the two networks.关键词
神经网络/锥形束CT/上颌磨牙/近颊第二根管Key words
Neural networks/Cone beam computed tomography/Maxillary molars/Second mesiobuccal canals分类
特种医学引用本文复制引用
陈盼,申博文,周耕宇,胡靖宇,马净植..三维神经网络识别CBCT中上颌磨牙MB2的实验研究[J].临床口腔医学杂志,2025,41(3):131-134,4.基金项目
国家自然科学基金面上项目(No.62171193) （No.62171193）
湖北省重点研发项目(No.2022BCA033) （No.2022BCA033）
