Retis: Diabetic Retinopathy and DMAE detection

retis is a latin word and means network. This is because the retina is a big network of blood vessels.

The Retis project tries to detect Diabetic Retinopathy (DR) and Age-Related Macular Degeneration (DMAE) in eye fundus images using Convolutional Neural Networks.

This project is my final Master's Degree Thesis in Polytechnical University of Valencia. You can download the thesis (in Spanish) here.

You can use the webapp from https://unmonoqueteclea.github.io/retis/

Choose in the menu on the left one of the two prediction systems and select a patient in the top dropdown menu. You will see, automatically the predictions of the classifiers, their confidences and some interesting attention maps.

what can I do with this app?

This app shows the results of the program for a set of images. The output from the program is pre-loaded. However, there is an associated Jupyter Notebook here where you can test all the models with your own images. Due to storage limitation of Github, I can't upload the trained models, please send me an email to pgonzalezcarrizo@gmail.com and I will send you all the needed model files.