For a particularly long time, automatic diagnosis of diabetic retinopathy 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 with a verified ground

truth and strict uation protocol. In this study, an uation methodology is proposed

and an image with ground truth is described-For a particularly long time, automatic diagnosis of diabetic retinopathy　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　with a verified ground

truth and strict　uation protocol. In this study, an　uation methodology is proposed

and an image　with ground truth is described