The SUSTech-SYSU dataset for automated exudate detection and diabetic retinopathy grading.
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ABSTRACT:
SUBMITTER: Lin L
PROVIDER: S-EPMC7679367 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature
Publications
The SUSTech-SYSU dataset for automated exudate detection and diabetic retinopathy grading.
Lin Li L Li Meng M Huang Yijin Y Cheng Pujin P Xia Honghui H Wang Kai K Yuan Jin J Tang Xiaoying X
Scientific data 20201120 1
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 on the sample size of training data and the quality of annotations, which is the fundamental motivation of this work. In this study, we construct a data ...[more]
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