Diabetic Retinopathy

Project ID
FG-572
Project Categories
Life Science
Project Keywords
Project Members
Abstract

The scope of the project is to build a workflow for diabetic retinopathy prognosis starting from a fundus image of the patient's retina. We use deep learning tools in two parts of the project, namely, to process the images and extract the necessary information to give as input to our Compucell simulations and to generate prognosis using the Compucell's output as input for another convolutional network.

Use of FutureSystems
We will run a great number of compucell simulations.
Scale of Use
For this I will first need to optimize my code in terms of time and resources.