Application of Signal Detection to the Development, Design and Evaluation of the Mechanism of Facial Size Abnormality Detection Platform for Acromegaly (I)

The development of artificial intelligence (AI) has a great impact on the future industry, especially the application of medical industry is an important category of AI development. The detection and identification of human body measurement and medical images will be more efficient with the development of artificial intelligence. Therefore, how to discover key anomaly detection indicators and combine the key advantages of artificial intelligence technology will be an important development trend of medical science in the future.In the past, human body measurement was mainly applied to the theory and product application of human factors engineering. The main application principle was met by understanding the size and difference of human body to construct representative size and size classification to meet the maximum demand. With the development of imaging technology With advancement, 3D stereoscopic imaging system technology is also becoming more and more mature, and it also enables people to achieve faster and more accurate measurement results.However, the current mechanism for measuring changes in the human body's disease process is often neglected because of the lack of change in measurement information, and there is no basis for changing the reference. If any image data is often a normal life photo, it cannot provide effective measurement. Information, so how to use the general photo analysis to understand the measurement gradient in the process of illness will help the analysis and application of human measurement data. Therefore, this study hopes to collect and compare the face measurement value analysis system through face measurement to understand the face. The Department measures abnormal changes and applies them to the early detection and detection of related variability diseases, thereby improving the benefits of treatment and reducing the cost of treatment.Therefore, this study hopes to collect and compare the face measurement abnormality judgment and analysis system design through face measurement, so as to understand the abnormality and change of face size measurement. However, face parameter collection and abnormal judgment are important information for the establishment of the platform. Through the signal detection theory to analyze and judge the abnormal reference value of the face size, the face size abnormality diagnosis mechanism and simple platform design are proposed. As an important reference and auxiliary basis for early detection, the face size measurement abnormality detection mode is proposed. As an early detection reference tool applied to related facial measurement parameter variant diseases.The research objectives of this study include:1. Exploration and establishment of abnormal mechanism of facial size parameters in acromegaly-Collecting and analyzing facial size information of patients with acromegaly and normal samples-Analysis of facial information acromegaly patients with and normal samples by signal detection theory2. Construction of abnormality detection system for facial size parameters of acromegaly-Establish and verify facial abnormalities in acromegaly-Design acromegaly facial abnormality detection platform3. Evaluation and verification of abnormality detection system for facial size parameters of acromegaly-Experimental design of face abnormality identification for acromegaly-Platform test verification and evaluation correction