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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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| Publicado no: | Sci Data |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | 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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