人工神经网络对口腔三维解剖特征分割与识别的研究进展  

Labelling,segmentation and application of neural network based on machine learning of three-dimensional intraoral anatomical features

作　　者：李骋 陈虎[1] 王勇[1] 孙玉春[1] Li Cheng;Chen Hu;Wang Yong;Sun Yuchun(Center of Digital Dentistry,Faculty of Prosthodontics,Peking University School and Hospital of Stomatology&National Center of Stomatology&National Clinical Research Center for Oral Diseases&National Engineering Research Center of Oral Biomaterials and Digital Medical Devices&Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health&Beijing Key Laboratory of Digital Stomatology,Beijing 100081,China)

机构地区：[1]北京大学口腔医学院·口腔医院口腔医学数字化研究中心口腔修复教研室国家口腔医学中心国家口腔疾病临床医学研究中心口腔生物材料和数字诊疗装备国家工程研究中心国家卫生健康委口腔医学计算机应用工程技术研究中心口腔数字医学北京市重点实验室,北京100081

出　　处：《中华口腔医学杂志》2022年第5期540-546,共7页Chinese Journal of Stomatology

基　　金：国家重点研发计划(2019YFB1706900);首都科技领军人才培养工程(Z191100006119022);北大百度基金(2019BD021);北京大学口腔医院临床新技术新疗法项目(PKUSSNCT-19A08)。

摘　　要：随着大数据时代的到来,基于机器学习的人工智能技术,尤其是人工神经网络技术发展迅速,相关研究已涉及口腔医疗多个领域,特别在口腔三维解剖特征的自动化分割与识别方面具有巨大的应用前景,可辅助口腔医师及技师完成繁琐重复的手工操作,并更高效精确地完成诊断与诊疗计划制订。本文简要总结人工神经网络在口腔三维解剖特征的分割与识别领域的应用现状与现存问题,为相关研究与临床应用提供参考。With the advent of the era of big data,artificial intelligence based on machine learning,especially artificial neural network has rapidly developed and applicated in the field of stomatology,owning huge potential in segmentation and labelling of three-dimensional intraoral anatomical features.Automatic segmentation,labelling and diagnosis can assist dentists and technicians to complete heavy and repeat work,change stomatology from subjective perception to objective science,and help to make diagnosis and treatment plan efficiently and accurately.This review briefly summarized related knowledge and development of machine learning and artificial neural network,its application status and existing problems in the field of segmentation and labelling of three-dimensional intraoral anatomical features,and provided an outlook of its future development.

关 键 词：神经网络(计算机) 口腔医学 放射摄影影像解释 计算机辅助 图像解释 计算机辅助 计算机辅助设计 人工智能 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术] R78[医药卫生—口腔医学]