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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Detalles Bibliográficos
Autores principales: Lin, Li, Li, Meng, Huang, Yijin, Cheng, Pujin, Xia, Honghui, Wang, Kai, Yuan, Jin, Tang, Xiaoying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679367/
https://www.ncbi.nlm.nih.gov/pubmed/33219237
http://dx.doi.org/10.1038/s41597-020-00755-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679367/
https://www.ncbi.nlm.nih.gov/pubmed/33219237
http://dx.doi.org/10.1038/s41597-020-00755-0

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