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Context Aware Convolutional Neural Network for Children Caries Diagnosis on Dental Panoramic Radiographs | |
Zhou, Xiaojie1; Yu, Guoxia1; Yin, Qiyue2; Liu, Yan1; Zhang, Zhiling1; Sun, Jie1 | |
发表期刊 | COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE |
ISSN | 1748-670X |
2022-09-21 | |
卷号 | 2022页码:8 |
通讯作者 | Yu, Guoxia(yuguoxia@bch.com.cn) |
摘要 | The objective of this study is to improve traditional convolutional neural networks for more accurate children dental caries diagnosis on panoramic radiographs. A context aware convolutional neural network (CNN) is proposed by considering information among adjacent teeth, based on the fact that caries of teeth often affects each other due to the same growing environment. Specifically, when performing caries diagnosis on a tooth, information from its adjacent teeth will be collected and adaptively fused for final classification. Children panoramic radiographs of 210 patients with one or more caries and 94 patients without caries are utilized, among which there are a total of 6028 teeth with 3039 to be caries. The proposed context aware CNN outperforms typical CNN baseline with the accuracy, precision, recall, F1 score, and area-under-the-curve (AUC) being 0.8272, 0.8538, 0.8770, 0.8652, and 0.9005, respectively, showing potential to improve typical CNN instead of just copying them in previous works. Specially, the proposed method performs better than two five-year attending doctors for the second primary molar caries diagnosis. Considering the results obtained, it is beneficial to promote CNN based deep learning methods for assisting dentists for caries diagnosis in hospitals. |
DOI | 10.1155/2022/6029245 |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Mathematical & Computational Biology |
WOS类目 | Mathematical & Computational Biology |
WOS记录号 | WOS:000863474200005 |
出版者 | HINDAWI LTD |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/50371 |
专题 | 复杂系统认知与决策实验室_智能系统与工程 |
通讯作者 | Yu, Guoxia |
作者单位 | 1.Capital Med Univ, Beijing Childrens Hosp, Natl Ctr Childrens Hlth, Dept Stomatol, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Zhou, Xiaojie,Yu, Guoxia,Yin, Qiyue,et al. Context Aware Convolutional Neural Network for Children Caries Diagnosis on Dental Panoramic Radiographs[J]. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE,2022,2022:8. |
APA | Zhou, Xiaojie,Yu, Guoxia,Yin, Qiyue,Liu, Yan,Zhang, Zhiling,&Sun, Jie.(2022).Context Aware Convolutional Neural Network for Children Caries Diagnosis on Dental Panoramic Radiographs.COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE,2022,8. |
MLA | Zhou, Xiaojie,et al."Context Aware Convolutional Neural Network for Children Caries Diagnosis on Dental Panoramic Radiographs".COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022(2022):8. |
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