AI based Intelligent Tool for Grading Diabetic Retinopathy
Diabetic retinopathy is the leading cause of blindness in the working-age population of the developed world. The World Health Organization estimates that 347 million people have the disease worldwide. Diabetic Retinopathy (DR) is an eye disease associated with long-standing diabetes. Retinal pathologies are responsible for millions of cases of blindness around the world. Glaucoma (4.5 million cases), age related macular degeneration (3.5 million cases) and diabetic retinopathy (2 million cases) are the leading cause of blindness in adults. Early diagnosis is pivotal in slowing down the progression of these diseases and therefore preventing the occurrence of blindness. Currently, detecting DR is a time-consuming and manual process that requires a trained clinician to examine and evaluate digital color fundus photographs of the retina. In developing countries like India with scarce medical facilities, it takes about a week to diagnose the extent of DR. With increasing advancement in Image processing and Deep Learning techniques, we seek to use it in order to speed up the DR grading process.
Principal Investigator : Dr. Sowmya Kamath S | Contact : email@example.com
Estimated Budget : 500000
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