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The SUSTech-SYSU dataset for automated exudate detection and diabetic retinopathy grading
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 detecti...
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| Udgivet i: | Sci Data |
|---|---|
| Main Authors: | , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Nature Publishing Group UK
2020
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7679367/ https://ncbi.nlm.nih.gov/pubmed/33219237 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41597-020-00755-0 |
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