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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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Bibliografiske detaljer
Udgivet i:Sci Data
Main Authors: Lin, Li, Li, Meng, Huang, Yijin, Cheng, Pujin, Xia, Honghui, Wang, Kai, Yuan, Jin, Tang, Xiaoying
Format: Artigo
Sprog:Inglês
Udgivet: Nature Publishing Group UK 2020
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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