Skip to content

A CNN to classify Diabetic Retinopathy with Fundus images

License

Notifications You must be signed in to change notification settings

sidharthramesh/Retinet

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Retinet

This project aims to train a CNN with the diabetiec retinopathy images as found on the kaggle competition on the subject.

We believe training a neural network on the train images and then using Visualization techniques like Deep Dream, we might be able to uncover hidden indicators of diagnostic and prognostic value in patients affected with Diabetic retinopathy.

Training a CNN

A large convolutional network is one option in achieving this, but it is very expensive

Classification

0 - No DR

1 - Mild

2 - Moderate

3 - Severe

4 - Proliferative DR

About

A CNN to classify Diabetic Retinopathy with Fundus images

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published