An ensemble-based system for automatic screening of diabetic retinopathy

@article{Antal2014AnES,
  title={An ensemble-based system for automatic screening of diabetic retinopathy},
  author={B. Antal and A. Hajdu},
  journal={Knowl. Based Syst.},
  year={2014},
  volume={60},
  pages={20-27}
}
In this paper, an ensemble-based method for the screening of diabetic retinopathy (DR) is proposed. [...] Key Method The actual decision about the presence of the disease is then made by an ensemble of machine learning classifiers. We have tested our approach on the publicly available Messidor database, where 90% sensitivity, 91% specificity and 90% accuracy and 0.989 AUC are achieved in a disease/no-disease setting. These results are highly competitive in this field and suggest that retinal image processing is…Expand
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