中华耳科学杂志2026，Vol.24Issue(2)：159-163,5.DOI:10.3969/j.issn.1672-2922.2026.02.012
深度学习技术在颞骨CT辅助诊断中的应用进展
Advances of application of deep learning in temporal bone CT-assisted diagnosis
摘要
Abstract
Temporal bone CT is one of the essential tools in the diagnosis and treatment of ear diseases.Accurately determining the type and location of lesions,and their relations to adjacent structures is of significant importance for selecting treatment and surgical approaches.In practice,due to the intricate temporal bone anatomy and relative few experienced otolaryngology radiologists,misdiagnosis and missed diagnoses may occur.Computer-aided deep learning diagnostics offers advantages such as high speed and resistance to fatigue,playing an increasingly important role in temporal bone CT-assisted diagnosis.Remarkable progress has been made in the recognition and segmentation of key temporal bone structures,as well as qualitative and quantitative diagnosis of diseases.This paper reviews domestic and overseas literatures in recent years,summarizes the achievements of deep learning technology in the identification and segmentation of key temporal bone structures,and discusses the challenges faced in the clinical application of temporal bone CT and the prospects of its future development.关键词
深度学习/颞骨CT/自动分割Key words
deep learning/temporal bone CT/automatic segmentation引用本文复制引用
尚亮亮,高燕军,李奕杉,王瑞,晋柳絮,杨军乐..深度学习技术在颞骨CT辅助诊断中的应用进展[J].中华耳科学杂志,2026,24(2):159-163,5.基金项目
陕西省重点研发计划(2023-YBSF-338) （2023-YBSF-338）
西安市科技计划项目(23YXYJ0018) （23YXYJ0018）
