articleJan 1, 2007Closed access

the DIARETDB1 diabetic retinopathy database and evaluation protocol

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Abstract

Automatic diagnosis of diabetic retinopathy from digital fundus images has been an active research topic in the medical image processing community. The research interest is justified by the excellent potential for new products in the medical industry and significant reductions in health care costs. However, the maturity of proposed algorithms cannot be judged due to the lack of commonly accepted and representative image database with a verified ground truth and strict evaluation protocol. In this study, an evaluation methodology is proposed and an image database with ground truth is described. The database is publicly available for benchmarking diagnosis algorithms. With the proposed database and protocol, it…

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856
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6.84
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100%
References
20
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Authors

10

Topics & keywords

Keywords
  • Benchmarking
  • Computer science
  • Protocol (science)
  • Database
  • Ground truth
  • Fundus (uterus)
  • Diabetic retinopathy
  • Data mining
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