The algorithm for detection of diabetic retinopathy

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Challenge

Detect and prevent Diabetic Retinopathy by developing a solution to detect referable disease using photographic images of the eye fundus through the ML\AI algorithm.

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TECHNOLOGY

Machine Learning, Computer Vision, Python, AWS

How it works

The dataset of retinal fundus photographs that are taken to screen for Diabetic Retinopathy will be used to train a deep neural network to detect the disease. Photographs of the retinal fundus can be taken anywhere – from optic retailers to pharmacies – by non-medical staff to be further uploaded to the system for diagnosis.

The algorithm will make early detection and prevention of diabetic retinopathy easily accessible for all.

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Result

Early detection and timely treatment of diabetic retinopathy.
Increased efficiency of a doctor’s performance through freeing up time that is otherwise invested in conducting routine screenings.
Higher rate of appointments for patients with screen-positive results who require treatment more urgently.

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