Establish a Medical Image Analysis and Identification Platform

The proportion of China’s 65-year-old population has increased year by year. As we enter old age, people’s average life expectancy increases year by year. The risk of disease in the elderly population increases. According to the statistics of the Ministry of Health and Welfare of Taiwan, most people over the age of 65 suffer from cancer and heart disease. Pneumonia, cerebrovascular disease, and diabetes. With medical advancement, more and more disease characteristics can be found in medical imaging. With the development of technology, the higher the resolution of the image, the more information that can be contained, and the doctor will spend more time marking and diagnosing. There is currently no open imaging training and recognition platform for users to use, so this study uses deep learning CNN technology to construct an image analysis and recognition platform with analysis and recognition interface. In the future, retraining and batch identification capabilities can be added to complete the integrity of the platform. © 2020, Springer Nature Singapore Pte Ltd.