Research on glaucoma classification of college students based on deep convolutional neural network

Abstract

With the advancement of deep learning technology, using deep convolutional neural network to figure out image classification has always been a research hotspot. At present, the incidence rate of high myopia is increasing. High myopia can cause pathological changes of the eyeground, which can cause various eye diseases. Glaucoma is one of the diseases that seriously threaten the vision of college students. Glaucoma caused by myopia seriously threatens the vision of patients. However, because the process of diagnosing glaucoma needs to be manually realized by doctors and is very time-consuming, it is great necessity for us to realize fast diagnosis of glaucoma. Convolutional neural network has self-learning ability and can improve the diagnosis speed of glaucoma. In order to figure out this issue, this paper proposes a classification network based on deep convolutional neural network to promote the feature extraction ability of network, and realize the accurate diagnosis of glaucoma. Experiments show that our method has achieved good accuracy in the classification of glaucoma.