D. Centers, . Control, and . Prevention, National diabetes fact sheet: national estimates and general information on diabetes and prediabetes in the united states, Department of Health and Human Services, 2011.

M. Niemeijer, M. D. Abramoff, and B. Van-ginneken, Information Fusion for Diabetic Retinopathy CAD in Digital Color Fundus Photographs, IEEE Transactions on Medical Imaging, vol.28, issue.5, pp.775-785, 2009.
DOI : 10.1109/TMI.2008.2012029

C. I. Sanchez, M. Niemeijer, A. V. Dumitrescu, M. S. Suttorp-schulten, M. D. Abramoff et al., Evaluation of a Computer-Aided Diagnosis System for Diabetic Retinopathy Screening on Public Data, Investigative Opthalmology & Visual Science, vol.52, issue.7, pp.4866-4871, 2011.
DOI : 10.1167/iovs.10-6633

C. Agurto, V. Murray, E. Barriga, S. Murillo, M. Pattichis et al., Multiscale AM-FM Methods for Diabetic Retinopathy Lesion Detection, IEEE Transactions on Medical Imaging, vol.29, issue.2, pp.502-512, 2010.
DOI : 10.1109/TMI.2009.2037146

M. Niemeijer, B. Van-ginneken, M. J. Cree, A. Mizutani, G. Quellec et al., Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs, IEEE Transactions on Medical Imaging, vol.29, issue.1, pp.185-195, 2010.
DOI : 10.1109/TMI.2009.2033909

URL : https://hal.archives-ouvertes.fr/hal-00473901

L. Giancardo, F. Meriaudeau, T. Karnowski, Y. Li, K. Tobin et al., Microaneurysm detection with radon transform-based classification on retina images, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.5939-5942, 2011.
DOI : 10.1109/IEMBS.2011.6091562

E. Trucco, A. Ruggeri, T. Karnowski, L. Giancardo, E. Chaum et al., Validating Retinal Fundus Image Analysis Algorithms: Issues and a Proposal, Investigative Opthalmology & Visual Science, vol.54, issue.5, pp.2013-2013
DOI : 10.1167/iovs.12-10347

URL : https://hal.archives-ouvertes.fr/hal-00824593

L. Giancardo, F. Meriaudeau, T. P. Karnowski, Y. Li, S. Garg et al., Exudate-based diabetic macular edema detection in fundus images using publicly available datasets, Medical Image Analysis, vol.16, issue.1, pp.216-226, 2012.
DOI : 10.1016/j.media.2011.07.004

URL : https://hal.archives-ouvertes.fr/hal-00639756

. L. Messidor, F. Giancardo, T. Meriaudeau, K. Karnowski, Y. Tobin-jr et al., Methods to evaluate segmentation and indexing techniques in the field of retinal ophthalmology Online [http://messidor.crihan.fr] Microaneurysms detection with the radon cliff operator in retinal fundus images, Proceedings of SPIE, p.76230, 2010.

J. Resnick, The radon transforms and some of its applications, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.33, issue.1, pp.338-339, 1985.
DOI : 10.1109/TASSP.1985.1164533

J. C. Platt, Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods, Advances in Large Margin Classifiers, 1999.

G. Quellec, M. Lamard, P. M. Josselin, G. Cazuguel, B. Cochener et al., Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs, IEEE Transactions on Medical Imaging, vol.27, issue.9, pp.1230-1241, 2008.
DOI : 10.1109/TMI.2008.920619

URL : https://hal.archives-ouvertes.fr/hal-00326135

A. K. Jain, R. P. Duin, and J. Mao, Statistical pattern recognition: a review, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.1, pp.4-37, 2000.
DOI : 10.1109/34.824819

K. W. Tobin, E. Chaum, V. P. Govindasamy, and T. P. Karnowski, Detection of Anatomic Structures in Human Retinal Imagery, IEEE Transactions on Medical Imaging, vol.26, issue.12, pp.1729-1739, 2007.
DOI : 10.1109/TMI.2007.902801