国际口腔医学杂志2025，Vol.52Issue(5)：579-585,7.DOI:10.7518/gjkq.2025052
基于深度学习技术诊断龋病方法的研究进展
Research progress on the methods for caries diagnosis based on deep learning
摘要
Abstract
Dental caries have a high incidence rate,and timely diagnosis forms the basis for clinical treatment.With the breakthroughs of deep learning technology in the field of natural image processing,deep learning methods for automatic diagnosis of dental caries by utilizing oral medical images have garnered significant attention.These deep learning-based diagnostic approaches for dental caries have made strides in three primary tasks:identification,detection,and segmenta-tion of caries.This paper provides an overview and comparative analysis with multiple perspectives of deep learning methodologies applied to these tasks,delves into the datasets utilized for caries diagnosis,and points out the challenges faced,all with the aim of facilitating intelligent diagnosis of dental caries.关键词
龋病诊断/口腔医学影像分析/深度学习Key words
caries diagnosis/oral medical imaging analysis/deep learning分类
医药卫生引用本文复制引用
周小洁,侯本祥..基于深度学习技术诊断龋病方法的研究进展[J].国际口腔医学杂志,2025,52(5):579-585,7.基金项目
Science and Technology Planning Project of Beijing Municipal Science&Technology Commission(Z191100006619037) 北京市科技计划项目(Z191100006619037) （Z191100006619037）
