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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.
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Message 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.
Eye for DiabetesAbout 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!