llmir / The-SUSTech-SYSU-dataset-for-automated-exudate-detection-and-diabetic-retinopathy-gradingView external linksLinks
Automated detection of exudates from fundus images plays an important role in diabetic retinopathy (DR) screening and evaluation, for which supervised or semi-supervised learning methods are typically preferred. However, a potential limitation of supervised and semi-supervised learning based detection algorithms is that they depend substantially…
☆10Dec 11, 2020Updated 5 years ago
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