Ocular Disease Recognition Using Convolutional Neural Networks

This project is part of the Algorithms for Massive Data course organized by the University of Milan, that I recently had the chance to attend. The task is to develop the Deep Learning model able to recognize eye diseases, from eye-fundus images using the TensorFlow library. An important requirement is to make the training process scalable, so create a data pipeline able to handle massive amounts of data points. In this article, I summarize my findings on convolutional neural networks and methods of building efficient data pipelines using the Tensorflow dataset object. Early ocular disease detection is an economic and effective way to prevent blindness caused by diabetes, glaucoma, cataract, age-related macular degeneration (AMD), and many other diseases.