作者
Jian Wang, Jiawei Dou, Jiaxuan Han, Guoqiang Li, Jiang Tao
发表日期
2023/2/17
期刊
BMC Oral Health
卷号
23
期号
1
页码范围
109
出版商
BioMed Central
简介
Background
Dental age (DA) estimation using two convolutional neural networks (CNNs), VGG16 and ResNet101, remains unexplored. In this study, we aimed to investigate the possibility of using artificial intelligence-based methods in an eastern Chinese population.
Methods
A total of 9586 orthopantomograms (OPGs) (4054 boys and 5532 girls) of the Chinese Han population aged from 6 to 20 years were collected. DAs were automatically calculated using the two CNN model strategies. Accuracy, recall, precision, and F1 score of the models were used to evaluate VGG16 and ResNet101 for age estimation. An age threshold was also employed to evaluate the two CNN models.
Results
The VGG16 network outperformed the ResNet101 network in terms of prediction performance. However, the model effect of VGG16 was less favorable than that in other age ranges in the 15–17 age group. The VGG16 network …
学术搜索中的文章
J Wang, J Dou, J Han, G Li, J Tao - BMC Oral Health, 2023