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EYE FOR DIABETES

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Help us improve the eye health of people with diabetes
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GET STARTED

You can choose between the "Detect landmarks" and "Mark red lesions" workflows.
In the "Detect landmarks" workflow you will label reference points (landmarks)
and evaluate the quality of retinal images. In the "Mark red lesions" workflow
you will search for retinal damages caused by diabetes. You will learn how to do
this in the "Training: Mark red lesions" workflow.

Detect landmarksMark red lesions

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Eye for Diabetes Statistics

100% Complete
4,591
Volunteers
114,287
Classifications
9,320
Subjects
9,320
Completed Subjects

WORDS FROM THE RESEARCHER

"I'm thrilled to be able to work on this project which will help to better
protect the sight of people with diabetes. Enabling automated detection of early
signs of diabetic retinopathy will allow earlier disease detection."

ABOUT EYE FOR DIABETES

"Eye for Diabetes" (Oog voor Diabetes, in Dutch) is a citizen science project
that aims to develop a computer model for diagnosing diabetic retinopathy. The
project is an initiative of VITO, VUB and Diabetes liga in Belgium.

Worldwide there are 400 million diabetes patients and this number is expected to
increase to 600 million by 2035. About 35% of diabetic patients have an eye
disease, called diabetic retinopathy. This occurs when high blood sugar levels
cause damage to blood vessels in the retina.

However, you can have diabetic retinopathy and not know it. This is because the
disease often has no symptoms in its early stages. Through a photo of the back
of the eye and with the help of computer models to detect abnormalities,
diabetic retinopathy can be diagnosed much faster and more accurately.

To train computer models based on artificial intelligence, a lot of images are
needed. We have a database of images that must be screened to train the computer
models. We ask for your help to screen the images of the retina, and to make
various annotations. Based on your observations, we can continue our research
and detect diabetic retinopathy in a faster way!

EXTERNAL PROJECT LINKS

 * Oog voor Diabetes project website (Dutch)
 * Diabetes Liga (Dutch)
 * Oogartsen.nl (Dutch)
 * NIH National Eye Institute
 * DR Barometer
 * MONA

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