AGE: Angle closure Glaucoma Evaluation Challenge

Citation Author(s):
Huazhu
Fu
Inception Institute of Artificial Intelligence
Fei
Li
Zhongshan Ophthalmic Center, Sun Yat-sen University, China.
José Ignacio
Orlando
Medical University of Vienna
Hrvoje
Bogunović
Medical University of Vienna
Xu
Sun
Baidu Inc., China.
Jingan
Liao
South China University of Technology
Yanwu
Xu
Baidu Inc., China.
Shaochong
Zhang
Zhongshan Ophthalmic Center, Sun Yat-sen University, China.
Xiulan
Zhang
Zhongshan Ophthalmic Center, Sun Yat-sen University, China.
Submitted by:
Huazhu Fu
Last updated:
Tue, 07/09/2019 - 09:31
DOI:
10.21227/petb-fy10
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Abstract 

Glaucoma is the leading cause of irreversible blindness in the world, and primary angle closure glaucoma (PACG) is one of the main subtypes. PACG patients have narrow chamber angle and can be diagnosed by goniscopy, which may cause discomfort and relies too much on personal experience. Anterior segment OCT is able to provide 3D scan of the anterior chamber and assist the ophthalmologists evaluate the condition of chamber angle. It’s faster and objective compare with goniscopy. Here, we set up the challenge on development of automatic algorithms about grading of angle width and recognition of important anatomical markers such as scleral spur.

Instructions: 

AGE: Angle closure Glaucoma Evaluation Challenge

link: https://age.grand-challenge.org/Home/

 

1) The biggest public available AS-OCT image dataset for glaucoma detection/diagnosis research;

 

2) Two types of tasks are validated, which are closely related to clinical glaucoma diagnosis;

 

3) Many participants from industry;

 

4) On-site challenge to better evaluate the real performance.