深度学习在耳科学中的研究与应用进展  

Research and application progress in deep learning in otology

作　　者：卯爽 吴学文[1,2,3] 侯木舟 梅凌云[1,2,3] 冯永[1,2,5] 宋剑 MAO Shuang;WU Xuewen;HOU Muzhou;MEI Lingyun;FENG Yong;SONG Jian(Department of Otorhinolaryngology Head and Neck Surgery,Xiangya Hospital,Central South University,Changsha 410008;Hunan Provincial Key Laboratory of Major Otorhinolaryngology Diseases,Changsha 410008;National Clinical Research Center for Geriatric Diseases(Xiangya Hospital),Changsha 410008;School of Mathematics and Statistics,Central South University,Changsha 410083;Department of Otorhinolaryngology Head and Neck Surgery,Changsha Central Hospital Affiliated to South China University,Changsha 410018,China)

机构地区：[1]中南大学湘雅医院耳鼻咽喉头颈外科,长沙410008 [2]耳鼻咽喉重大疾病湖南省重点实验室,长沙410008 [3]国家老年疾病临床医学研究中心(湘雅医院),长沙410008 [4]中南大学数学与统计学学院,长沙410083 [5]南华大学附属长沙市中心医院耳鼻咽喉头颈外科,长沙410018

出　　处：《中南大学学报（医学版）》2023年第3期463-471,共9页Journal of Central South University ：Medical Science

基　　金：国家自然科学基金(81700923);湖南省自然科学基金(2021JJ31108,2021JJ41017);中国博士后科学基金(2021M693566,2021T140751);湖南省科技创新人才计划(2020RC2013)。

摘　　要：随着深度学习算法的优化及医学大数据资料的积累,近年来深度学习技术在耳科学各领域中研究应用广泛。目前,耳科学中的深度学习研究结合了耳内窥镜、颞骨影像、听力图、术中图像等多种资料,涉及耳科疾病诊断(包括耳廓畸形、外耳道疾病、中耳疾病及内耳疾病)、治疗(指导用药及术式规划)及预后预测(涉及听力转归和言语学习)等方面。根据资料的类别及研究目的(疾病诊断、治疗及预后预测)的差异,可选用不同的神经网络模型以发挥其算法的优势,深度学习对耳科疾病具有良好的辅助诊疗价值。深度学习在耳科疾病的临床诊断与治疗中具有较好的应用前景。With the optimization of deep learning algorithms and the accumulation of medical big data,deep learning technology has been widely applied in research in various fields of otology in recent years.At present,research on deep learning in otology is combined with a variety of data such as endoscopy,temporal bone images,audiograms,and intraoperative images,which involves diagnosis of otologic diseases(including auricular malformations,external auditory canal diseases,middle ear diseases,and inner ear diseases),treatment(guiding medication and surgical planning),and prognosis prediction(involving hearing regression and speech learning).According to the type of data and the purpose of the study(disease diagnosis,treatment and prognosis),the different neural network models can be used to take advantage of their algorithms,and the deep learning can be a good aid in treating otologic diseases.The deep learning has a good applicable prospect in the clinical diagnosis and treatment of otologic diseases,which can play a certain role in promoting the development of deep learning combined with intelligent medicine.

关 键 词：深度学习 神经网络 颞骨 耳科学 

分 类 号：R764[医药卫生—耳鼻咽喉科]