GAMMA:¶

Glaucoma grAding from Multi-Modality imAges¶

Description¶

GAMMA will release the world's first multi-modal dataset for glaucoma grading, which was provided by the Sun Yat-sen Ophthalmic Center of Sun Yat-sen University in Guangzhou, China. The dataset consists of 2D fundus images and 3D optical coherence tomography (OCT) images of 300 patients. The dataset was annotated with glaucoma grade in every sample, and macular fovea coordinates as well as optic disc/cup segmentation mask in the fundus image.

Tasks¶

1) Grading glaucoma using multi-modality data;
2) Localization of macular fovea in fundus images;
3) Segmentation of optic disc and cup in fundus images.

For details and registration, please visit the URL of GAMMA contest: 
https://aistudio.baidu.com/aistudio/competition/detail/90 (Closed)

Now, to access the details of the data and evaluation framework, please visit the following URL and join the contest:

Task 1: https://aistudio.baidu.com/aistudio/competition/detail/807 

Task 2: https://aistudio.baidu.com/aistudio/competition/detail/806

Task 3: https://aistudio.baidu.com/aistudio/competition/detail/805 

If you have any questions, please contact the organizers.