The Challenge
Diabetic Retinopathy impacts over 94 millions of people. There is a general lack of expertise and equipment, as well as the process of identification is very cost-inefficient.
Solution
An automated system for identifying and assessing diabetic recovery. Some of the features are :
- Non-invasive method
- Color fundus photographs used as input data
- Image analysis and pattern recognition algorithms used to assign probability whether DR exists