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REFUGE2 Challenge: A Treasure Trove for Multi-Dimension Analysis and Evaluation in Glaucoma Screening

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arxiv 2202.08994 v3 pith:LMLDCVKM submitted 2022-02-18 eess.IV cs.CV

REFUGE2 Challenge: A Treasure Trove for Multi-Dimension Analysis and Evaluation in Glaucoma Screening

Huihui Fang , Fei Li , Junde Wu , Huazhu Fu , Xu Sun , Jaemin Son , Shuang Yu , Menglu Zhang
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Chenglang Yuan Cheng Bian Baiying Lei Benjian Zhao Xinxing Xu Shaohua Li Francisco Fumero Jos\'e Sigut Haidar Almubarak Yakoub Bazi Yuanhao Guo Yating Zhou Ujjwal Baid Shubham Innani Tianjiao Guo Jie Yang Jos\'e Ignacio Orlando Hrvoje Bogunovi\'c Xiulan Zhang Yanwu Xu
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classification eess.IV cs.CV
keywords funduschallengeglaucomarefuge2analysisdatasetscolorannotations
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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With the rapid development of artificial intelligence (AI) in medical image processing, deep learning in color fundus photography (CFP) analysis is also evolving. Although there are some open-source, labeled datasets of CFPs in the ophthalmology community, large-scale datasets for screening only have labels of disease categories, and datasets with annotations of fundus structures are usually small in size. In addition, labeling standards are not uniform across datasets, and there is no clear information on the acquisition device. Here we release a multi-annotation, multi-quality, and multi-device color fundus image dataset for glaucoma analysis on an original challenge -- Retinal Fundus Glaucoma Challenge 2nd Edition (REFUGE2). The REFUGE2 dataset contains 2000 color fundus images with annotations of glaucoma classification, optic disc/cup segmentation, as well as fovea localization. Meanwhile, the REFUGE2 challenge sets three sub-tasks of automatic glaucoma diagnosis and fundus structure analysis and provides an online evaluation framework. Based on the characteristics of multi-device and multi-quality data, some methods with strong generalizations are provided in the challenge to make the predictions more robust. This shows that REFUGE2 brings attention to the characteristics of real-world multi-domain data, bridging the gap between scientific research and clinical application.

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