儿童阻塞性睡眠呼吸暂停计算机人脸辅助诊断综述  

Review of computer-aided face diagnosis for obstructive sleep apnea in children

作　　者：赵津 宋文爱[1] 邰隽 杨吉江[3] 王青[3] 李晓丹[4] 雷毅 邱悦 ZHAO Jin;SONG Wen’ai;TAI Jun;YANG Jijiang;WANG Qing;LI Xiaodan;LEI Yi;QIU Yue(School of Software,North University of China,Taiyuan Shanxi 030051,China;Department of Otolaryngology-Head and Neck Surgery,Children’s Hospital Affiliated to Capital Institute of Pediatrics,Beijing 100020,China;Department of Automation,Tsinghua University,Beijing 100084,China;Department of Otolaryngology-Head and Neck Surgery,Beijing Children’s Hospital,Capital Medical University,Beijing 100045,China)

机构地区：[1]中北大学软件学院,太原030051 [2]首都儿科研究所附属儿童医院耳鼻咽喉头颈外科,北京100020 [3]清华大学自动化系,北京100084 [4]首都医科大学附属北京儿童医院耳鼻咽喉头颈外科,北京100045

出　　处：《计算机应用》2021年第11期3394-3401,共8页journal of Computer Applications

基　　金：北京市朝阳区协同创新项目(CYXC2010)。

摘　　要：利用人脸图片辅助诊断儿童阻塞性睡眠呼吸暂停(OSA)可以减轻医生的负担,提高诊断的准确率。首先,简要阐述了目前儿童OSA临床诊断中的方法及其局限性;然后,在研究了目前已有方法的基础上,结合计算机人脸辅助诊断其他疾病的方法,将计算机人脸辅助诊断儿童OSA的方法分为三种类型:传统的计算机人脸辅助诊断方法、基于迁移学习的诊断方法、基于3D人脸数据的诊断方法,综述了三种类型的方法中的关键步骤,并对这些关键步骤中使用的方法进行了对比研究,为将来儿童OSA计算机人脸辅助诊断的研究提供了不同的切入点;最后,分析了儿童OSA诊断未来研究中的机遇和挑战。Using face images in the diagnosis of Obstructive Sleep Apnea(OSA)in children can reduce the burden of doctors and improve the accuracy of diagnosis.Firstly,the current methods and their limitations of OSA in children clinical diagnosis were briefly described.Then,on the basis of studying the existing methods,combining with the methods of computer-aided face diagnosis of other diseases,the computer-aided face diagnosis methods of OSA in children were divided into three types:traditional computer-aided face diagnosis methods,transfer learning based diagnosis methods,and 3D face data based diagnosis methods.The key steps of the three types of methods were summarized,and the methods used in these key steps were compared,which provides different entry points for the future research of computer-aided face diagnosis for OSA in children.Finally,the opportunities and challenges in the future research of OSA in children diagnosis were analyzed.

关 键 词：计算机辅助诊断 儿童阻塞性睡眠呼吸暂停 人脸关键点检测 人脸特征提取 迁移学习 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]