Deep Learning-Based Detection Of Cataract Diseases Using Convolutional Neural Network

Abstract

The eye is the most essential sense organ that allows us to look at the world, and cataract is the most prevalent eye diseases that cause visual distortion. Cataract is a medical disorder defined by the impairing of the eye's lenses. We employ deep learning techniques such as CNN to predict cataracts beforehand. In this research, we developed two functioning models: one using the Random Forest technique and the other using the Convolutional Neural Network. We determined the accuracy of both models and even discussed the models employed by others and their accuracy