Supported by the Department of Medical Services of the Ministry of Public Health of Thailand, the 4th APTOS Big Data Competition focuses on the generation of optical coherence tomography (OCT) images from color fundus photography. 1,271 pairs of fundus photos and OCT images from 693 patients with different diabetic maculopathies and glaucoma will be used. Each pair consists of a fundus photo and 6 corresponding OCT images in temporal sequence.
Description
Despite the many benefits of the fundus photo, the fundus imaging system sees what the human eye can see. With this technology, an ophthalmologist or optometrist detects only pathologies that are visible to human eyes. Many diseases at the early stages are almost invisible to even an experienced optometrist or ophthalmologist. Most retinal abnormalities progress with age and develop slowly and gradually, so diagnosing them is pretty difficult.
On the other hand, modern OCT examination allows ophthalmologists to get images with a reasonably high resolution. Modern OCT image interpretation, with the 3D volumetric data and detail of the retinal layers that it captures, also allows physicians to detect the warning signs of the disease, classify hundreds of pathologies, and re-monitor images to track the progression of pathologies.
We have heard so much about what generative AI is capable of doing. What if it can help generate more detailed, yet expensive, OCT images from affordable fundus photos? In this synchronous competition, you’ll build a machine learning model to generate OCT images from color fundus photos. You’ll work with almost 9,000 images collected in hospital settings. If successful, you will make quality eye care and diagnosis accessible to patients in low-and middle-income countries. Such AI tools could enhance teleophthalmology and remote screening, providing valuable structural information without the need for specialized OCT equipment, which can certainly benefit patients with limited resources.
Timeline
- September 9, 2024 – Launch of Competition & APTOS Hackathon 2024 Registration Open
- September 16, 2024 – Accepting Submissions
- November 15, 2024 – Entry Deadline & Team Merger Deadline
- November 30, 2024 – Preliminary Round Submission Deadline & APTOS Hackathon 2024 Registration Deadline
- December 13, 2024 – APTOS 2024 Hackathon & Final Submission Deadline (Only participants taking part in APTOS Hackathon 2024 are eligible to receive the prize money.)
- December 14, 2024 – Submission of Codes (The top 5 finalists must submit their codes for review by 18:00 UTC+8.)
- December 15, 2024 – Prize Presentation
(There is an entry fee of US$50 to the Hackathon. The fee will be refunded upon check-in by the participants on site.)
Cash Prizes
Participants taking part in APTOS Hackathon 2024 with the best scores on the private leaderboard are eligible to receive:
- 1st Place – US$10,000
- 2nd Place – US$5,000
Please note that contestants in the Hackathon must haven take part in the preliminary round of the Competition online.
Additional Opportunities:
Winners in this competition will be invited to contribute to the Closing Session of the 9th Asia Pacific Tele-Ophthalmology Society Symposium, on December 15, 2024 to share their tips and pearls in developing a winning AI algorithm. All winners must present their “Share & Tell” on December 15, 2024 in order to become eligible for the cash prizes.
4th APTOS Big Data Competition |
APTOS Hackathon 2024
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Acknowledgment
We thank Rajavathi Hospital for providing the paired images for the 4th APTOS Big Data Competition.
We are also grateful towards Alibaba Cloud and Tianchi, our sole sponsors that provide us with the technical support necessary for the Competition to take place.
