What is it about?
The prime objective of the proposed dataset is to provide a platform for researchers working on retinal diseases, specifically for DR. It can also be utilized for other retinal diseases such as hypertensive retinopathy (HR), ME, papilledema and for person identification systems. The proposed digital retinal database will work as a benchmark dataset to testify the performance, reliability and authenticity of fully/semi-automated disease diagnostic systems and person identification systems related to retinal images. The proposed benchmark for the detection of DR is publicly available for research purposes.
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Why is it important?
Pioneer benckmark dataset for detection of Diabetic Retinopathy with all stages classification done by a panel of 5 consultant ophthalmologists. All disease symptoms indicated by the panel.
Perspectives
Read the Original
This page is a summary of: Retinal images benchmark for the detection of diabetic retinopathy and clinically significant macular edema (CSME), Biomedical Engineering / Biomedizinische Technik, May 2019, De Gruyter,
DOI: 10.1515/bmt-2018-0098.
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Resources
Diabetic Retinopathy Benchmark Dataset / Retinal Images Benchmark Dataset
Biomedical Engineering / Biomedizinische Technik Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering and the German Society of Biomaterials.
Diabetic Retinopathy Benchmark Dataset / Retinal Images Benchmark Dataset
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