REFUGE: Retinal Fundus Glaucoma 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 - 08:57
DOI:
10.21227/tz6e-r977
Links:
License:
5
1 rating - Please login to submit your rating.

Abstract 

Welcome to the Retinal Fundus Glaucoma Challenge! REFUGE was organized as a half day Challenge in conjunction with the 5th MICCAI Workshop on Ophthalmic Medical Image Analysis (OMIA), a Satellite Event of the MICCAI 2018 conference in Granada, Spain. The goal of the challenge is to evaluate and compare automated algorithms for glaucoma detection and optic disc/cup segmentation on a common dataset of retinal fundus images. With this challenge, we made available a large dataset of 1200 annotated retinal fundus images. In addition, an evaluation framework has been designed to allow all the submitted results to be evaluated and compared with one another in a uniform manner. 

Instructions: 

REFUGE: Retinal Fundus Glaucoma Challenge 

Link: https://refuge.grand-challenge.org/home/

 

With this challenge, we made available a large dataset of 1200 annotated retinal fundus images. In addition, an evaluation framework has been designed to allow all the submitted results to be evaluated and compared with one another in a uniform manner. 

 

REFUGE Challenge consists of THREE Tasks:

Classification of clinical Glaucoma

Segmentation of Optic Disc and Cup

Localization of Fovea (macular center)  -- NEW Task added

Imaging Data

All fundus images are stored as JPEG files

 

Reference Standard

Task 1. The reference standard for glaucoma presence obtained from the health records, which is not based on fundus image ONLY, but also take OCT, Visual Field, and other facts into consideration. For training data, glaucoma and non-glaucoma labels (a.k.a. the reference standard) are reflected on the image folder names.

 

Task 2. Manual pixel-wise annotations of the optic disc and cup were obtained by SEVEN (was 3 as proposed) independent GLAUCOMA  SPECIALISTS from Zhongshan Ophthalmic Center, Sun Yat-sen University, China. The reference standard for the segmentation task was created from the seven annotations, which were merged into single annotation by another SENIOR GLAUCOMA  SPECIALIST. It is stored as a BMP image with the same size as the corresponding fundus image with the following labels:

 

Task 3. Manual pixel-wise annotations of the fovea (macular center) were obtained by 7 independent GLAUCOMA  SPECIALISTS. The reference standard for localization task was created by using the average of selected annotations from the 7 annotations, for each individual images by another independent GLAUCOMA  SPECIALIST.

Comments

good

Submitted by Monika Mokan on Mon, 09/09/2024 - 03:28

Dataset Files

    Files have not been uploaded for this dataset