计算机工程与应用2019，Vol.55Issue(15)：24-31,8.DOI:10.3778/j.issn.1002-8331.1903-0154
人脸辅助诊断关键技术研究
Research on Key Technologies of Facial-Assisted Diagnosis
摘要
Abstract
Certain diagnosis and screening of disease can make auxiliary judgements with the help of the patient’s facial changes. At present, the application of face aided diagnosis technology in the field of medical auxiliary diagnosis is increasing. The performance of some diseases is no less than the empirical diagnosis of medical workers. Face assisted diagnosis systems can help to carry out large-scale screening of disease, accelerate disease staging, and shorten diagnosis time, improve the efficiency of doctors, for the benifit of patients. This paper reviews the key of facial-assisted diagnosis, such as face detection, face feature extraction, face landmark recognition, face correction, face image enhancement, classifier selection, and look forward to the development prospects of face aided diagnosis.关键词
人脸辅助诊断/人脸检测/人脸特征提取/人脸关键点检测Key words
face aided diagnosis/ face detection/ face feature extraction/ face landmark detection分类
信息技术与安全科学引用本文复制引用
梁雅琪,宋文爱,杨吉江,王青,王星月,雷毅..人脸辅助诊断关键技术研究[J].计算机工程与应用,2019,55(15):24-31,8.基金项目
国家重点研发计划(No.2017YFB1400803). （No.2017YFB1400803）
