Context
These data represent Diabetic Retinopathy grades (as well as DME and Gradability) for the publicaly available MESSIDOR-2 fundus image database. (http://latim.univ-brest.fr/indexfce0.html)
Content
The grades were adjudicated by a panel of three Retina Specialists.
Acknowledgements
References:
[1] Decencière E, Etienne D, Xiwei Z, et al. Feedback on a publicly distributed image database: the Messidor database. Image Anal Stereol. 2014;33(3):231-234. doi:10.5566/ias.1155
[2] Krause, J. et al. Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy. Ophthalmology (2018). doi:10.1016/j.ophtha.2018.01.034
[3] Gulshan, V. et al. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. JAMA 316, 2402–2410 (2016)
Inspiration
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