FEEDBACK ON A PUBLICLY DISTRIBUTED IMAGE DATABASE: THE MESSIDOR DATABASE
Étienne Decencière(École Nationale Supérieure des Mines de Paris), Xiwei Zhang(École Nationale Supérieure des Mines de Paris), Guy Cazuguel(Laboratoire de Traitement de l'Information Médicale), Bruno Laÿ(IST Medical (France)), Béatrice Cochener(Centre Hospitalier Régional Universitaire de Brest), Caroline Trone(Centre Hospitalier Universitaire de Saint-Étienne), Philippe Gain(Centre Hospitalier Universitaire de Saint-Étienne), Richard C. Ordoñez(École Nationale Supérieure des Mines de Paris), Pascale Massin(Assistance Publique – Hôpitaux de Paris), Ali Erginay(Assistance Publique – Hôpitaux de Paris), B Charton(Centre de Recherche en Informatique), Jean-Claude Klein(École Nationale Supérieure des Mines de Paris)
Cited by 1,382Open Access
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.
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