Abstract

The Messidor database, which contains hundreds of eye fundus images, has been publicly distributed since 2008. It was created by the Messidor project in order to evaluate automatic lesion segmentation and diabetic retinopathy grading methods. Designing, producing and maintaining such a database entails significant costs. By publicly sharing it, one hopes to bring a valuable resource to the public research community. However, the real interest and benefit of the research community is not easy to quantify. We analyse here the feedback on the Messidor database, after more than 6 years of diffusion. This analysis should apply to other similar research databases.

Keywords

DatabaseComputer scienceSegmentationArtificial intelligence

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Publication Info

Year
2014
Type
article
Volume
33
Issue
3
Pages
231-231
Citations
1288
Access
Closed

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Cite This

Étienne Decencière, Xiwei Zhang, Guy Cazuguel et al. (2014). FEEDBACK ON A PUBLICLY DISTRIBUTED IMAGE DATABASE: THE MESSIDOR DATABASE. Image Analysis & Stereology , 33 (3) , 231-231. https://doi.org/10.5566/ias.1155

Identifiers

DOI
10.5566/ias.1155