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--- |
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license: apache-2.0 |
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task_categories: |
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- image-segmentation |
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- image-classification |
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language: |
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- en |
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tags: |
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- segmentation |
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- fundus image |
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- glaucoma |
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- medical image |
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pretty_name: REFUGE |
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size_categories: |
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- 1K<n<10K |
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--- |
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## REFUGE |
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REFUGE Challenge provides a data set of 1200 fundus images with ground truth segmentations and clinical glaucoma labels, currently the largest existing one. |
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This dataset supplied multi-rater annotations of [REFUGE Challenge Dataset](https://refuge.grand-challenge.org/). The challenge dataset releases majority vote (with some modifications) results of seven independent |
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annotations. We release the scource seven annotations here. |
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## Cite |
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~~~ |
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@article{fang2022refuge2, |
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title={REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment}, |
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author={Fang, Huihui and Li, Fei and Wu, Junde and Fu, Huazhu and Sun, Xu and Cao, Xingxing and Son, Jaemin and Yu, Shuang and Zhang, Menglu and Yuan, Chenglang and Bian, Cheng and others}, |
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journal={arXiv preprint arXiv:2202.08994}, |
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year={2022} |
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} |
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~~~ |
