Abstract:

The facial morphology of patients with certain diseases is different from that of most normal people and has certain similarities. According to different facial features, computer information technology can be used to help diagnose such diseases. Through computer-aided medical diagnosis, some studies have found that the screening rate for some diseases is close to or even higher than that of doctors, and the diagnosis period is shortened. This paper reviews the basic principles and traditional methods of computer-aided diagnosis of facial morphology-related diseases. Then, starting from the different factors that cause the change of face shape, the relevant applied research is analyzed and summarized. The morphological features of human face are analyzed from different technical perspectives to provide different entry points for the faster and more accurate diagnosis of diseases in the future.

Key words: face aided diagnosis, face detection, facial morphology, syndrome

摘要：

某些疾病引起的患者的脸部形态与大多数正常人不同，具有一定的相似性。根据不同的人脸形态特征，可以通过利用计算机信息技术辅助诊断这类疾病。通过计算机辅助医学诊断，有研究发现，一些疾病的筛查率接近甚至高于医生，疾病的诊断周期也缩短了。综述了计算机辅助诊断人脸形态学相关疾病的基本原理和传统方法；从引起人脸形态变化的不同因素入手，分析和综述了相关的应用研究。从不同的技术角度分析人脸的形态特征，为今后更快、更准确地诊断疾病提供不同的切入点。

关键词: 人脸辅助诊断, 人脸检测, 人脸形态学, 综合征