Hyphema Eye Disease Prediction with Deep Learning

Abstract

In the current scenario, eye diseases are increasing at a fast level due to increased screen time and many factors which has become very common nowadays. Living in along facetime period it is most essential to check eye conditions in order to enjoy a problem free sight. Hyphema is one of the unknown and most eyesight problem disease. Though case studies and research has been done there are less systems developed to diagnosis Hyphema disease. Thus a system is developed using deep learning algorithms to predict the Hyphema disease at an starting stage. Deep Learning increases the prediction rate by giving the predicted output back to the training data samples. The proposed work involves image pre-processing where the image of the eye is given as the input. The grade of the disease name is also predicted using the framework. The accuracy using deep learning is found to be 85%.