A Review of Deep Learning Applications in Ophthalmology

Early detection of eye disease is critical to saving vision and preventing additional injury. Many types of eye diseases like diabetic retinopathy and glaucoma can be asymptotic or can have few symptoms in their early development. By the time symptoms have developed, the diseases may have advanced to a point where it’s much more difficult to treat. Timely discovery also allows for early commencement of suitable treatment that could assist in controlling the health issue and preventing degeneration in vision. This is the reason early detection of these ailments becomes so important because individuals can lose their sight. Machine learning (ML), deep learning (DL), and advanced imaging methods have greatly improved detection rates in eye disease. This project uses CNN (Convolutional Neural Network) to classify the eye type of people using deep learning.