基于深度学习技术诊断龋病方法的研究进展

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中图分类号] R781.1 [文献标志码]A [doi] 10.7518/gjkq.2025052

Research progress on the methods forcaries diagnosis based on deep learning

ZhouXiaojie，HouBenxiang

1.Deptofomtologyeingdrn'sopital，italeicalUvesitytioalnterfordre'slt Beijing0o45，China;2.CenteroricroscoeEnancedentistryCapitaledicalUnversityhooloftotology Beijing100162，ChinaSupportedby：Scienceand Technology PlanningProjectofBeijing MunicipalScience&Technology Commission （Z191100006619037）

Correspondence：HouBenxiang，Email：houbenxiang@gmail.com [Abstract]Dentalcarieshaveahigh incidencerate，andtimelydiagnosisformsthebasisforclinicaltreatment.Withthe breakthroughs of deep leaming technology inthe fieldof natural image processing，deep learning methods for automatic diagnosisofdentalcaries byutilizingoral medicalimages havegarneredsignificantatention.Thesedeeplearing-based diagnosticapproaches fordentalcaries have made strides inthreeprimarytasks：identification，detection，andsegmentationof caries.This paper provides an overview and comparative analysis with multiple perspectives of deep learning methodologies appliedtothese tasks，delves intothedatasetsutilizedforcaries diagnosis，andpointsoutthechallenges faced，all with the aim of facilitating intelligent diagnosis of dental caries.

[Keywords] caries diagnosis；oral medical imaginganalysis；deep learning

深度学习，作为人工智能领域的一种新兴方法，其层次化表示方法使得其允许由多个处理层组成的计算模型来学习具有抽象级别的数据表示。（剩余14266字）