An applied study of retinopathy detection by incorporating an attentional mechanism model
Due to the high prevalence of diabetic retinopathy,the diagnostic process can be time-consuming,and there is a shortage of experienced doctors.Therefore,it is important to develop a paramedical system.A system for detecting diabetic reti-nopathy was developed using Vue and Antd technologies for front-end interaction,FastApi and Nginx for back-end architecture,and deploying deep learning algorithms on the Web side.The system assists patients in monitoring the progression of their disease.Doctors can then formulate appropriate treatment plans based on the segmentation and prediction results provided by the system.This significantly reduces diagnosis time and aids in the early detection and treatment of diabetic patients'diseases.
diabetic retinopathyassisted diagnosis and treatment systemdeep learningsystem design
万方数据
维普
