Machine Learning Approach to Diabetic Retinopathy Diagnosis
By: Jaizel Robles and Daniel Knapp
Department: Biology
Faculty Advisors: Dr. Ilmi Yoon, Dr. Julia Cluceru (Genentech), and Dr. Julio Ramirez
This project will show how a machine learning model can be use to classify retinal images of diabetic retinopathy patients into subtypes using CNN classifier and transfer learning. Machine learning concepts such as CNN classifier and transfer learning will be applied and show how a model can be trained to recognize images to diagnose.