Recognition of Medical Images of Eye Diseases in a Deep Learning Perspective

By studying and learning various deep learning models, the most suitable model for identifying diseased eyes, normal eyes, and highly myopic eyes in medical images is selected, and effective identification and prediction of eye medical images are performed. Medical images are obtained through Alibaba Cloud's dataset and analyzed through image quality enhancement and feature extraction. By comparing the test data between models, the deep learning model DenseNet121 is finally used for model training. It can accurately identify different types of eye medical images and make disease predictions based on the images.