Imagine being able to detect blindness before it happened.
Millions of people suffer from diabetic retinopathy, the leading cause of blindness among working aged adults. Aravind Eye Hospital in India hopes to detect and prevent this disease among people living in rural areas where medical screening is difficult to conduct. Successful entries in this competition will improve the hospital’s ability to identify potential patients. Further, the solutions will be spread to other Ophthalmologists through the 4th Asia Pacific Tele-Ophthalmology Society (APTOS) Symposium
Currently, Aravind technicians travel to these rural areas to capture images and then rely on highly trained doctors to review the images and provide diagnosis. Their goal is to scale their efforts through technology; to gain the ability to automatically screen images for disease and provide information on how severe the condition may be.
In this synchronous Kernels-only competition, you’ll build a machine learning model to speed up disease detection. You’ll work with thousands of images collected in rural areas to help identify diabetic retinopathy automatically. If successful, you will not only help to prevent lifelong blindness, but these models may be used to detect other sorts of diseases in the future, like glaucoma and macular degeneration.
Get started today!
Participants with the best scores on the private leaderboard are eligible to receive:
- 1st Place – $25,000
- 2nd Place – $12,000
- 3rd Place – $8,000
- 4th Place – $5,000
Winners in this competition will be invited to contribute to the 4th Annual Symposium at APTOS 2019 in India with limited travel and conference support.
Top performing participants on the private leaderboard are welcome to request a complimentary pass to APTOS 2019 conference. Attendees are responsible for all costs associated with travel and expenses to attend.