Design And Implementation Of Bone Age Intelligent Diagnose System Based On SSM

With the times past by development,people pay more and more attention to the psychological and physical development of young children,cases of seeing a doctor because of short stature,precocious puberty and other growth issues have increased rapidly.As an independent growth indicator,bone age represents the physiological maturity and developmental age of young children,and can be used as a “ruler” for measuring individual growth and development level and maturity.Therefore,more and more people use bone age to evaluate the physical development of young children.The current bone age evaluation mainly relies on the manual evaluation of bone age experts,the efficiency is relatively low,and each link is somewhat out of touch.This topic designed a bone age intelligent evaluation system based on B/S architecture for the current bone age evaluation problem,which closely combined the various aspects of bone age evaluation,and attempts to use deep learning to evaluate bone age intelligently,and reduce the workload of experts and improve bone age.Evaluation efficiency.The main research contents of this paper are as follows:(1)Introduced the basic knowledge of bone age,and expounded the key technologies in the development of bone age intelligent evaluation system,including system overall framework SSM,database MySQL and Redis,message middleware RabbitMQ.(2)Starting from the system users,using the use case diagram to carry out detailed functional requirements analysis for the three types of users,such as ordinary users,experts and administrators,and expounded from the aspects of reliability,security,ease of use and scalability.Analysis of the system's non-functional requirements.(3)According to the needs analysis,the overall architecture,functional modules and database of the system are designed in detail.(4)According to the design,realize the bone age intelligent evaluation system,and write test cases,test and analyze the system from both functional and non-functional aspects,and the test results meet the requirements.