Retinal Disease Detection System

Ocular perceivers are one of the most consequential components of the whole body. It sanctions optically discerning things by reflecting light that falls on the articles. It is composed of retina, pupil, iris, cornea, and lens. The retina is a thin membranous layer of tissue that involves at the back of the ocular perceiver that provides central vision needed for daily routines. As with the age, the retina gets affected by many diseases. It is proposed that, with the avail of Machine Learning techniques and the advance technology capable of engendering High-resolution images of the retina, it is now possible to detect diseases afore they become too hard to remedy. Early detection and treatment of the diseases will greatly truncate the chances of perpetual damage to the retina of the patients. In this project, we will apply image processing and relegation on the retinal OCT images utilizing Convolutional Neural Network and different transfer learning algorithms we relegate variants of retinal disease such as Choroidal neovascularization, Diabetic Macular Edema, Drusen.