D. S. Fong, L. Aiello, T. W. Gardner, G. L. King, G. Blankenship et al., Retinopathy in Diabetes, Diabetes Care, vol.27, issue.Supplement 1, pp.84-87, 2004.
DOI : 10.2337/diacare.27.2007.S84

S. Wild, G. Roglic, A. Green, R. Sicree, and H. King, Global Prevalence of Diabetes: Estimates for the year 2000 and projections for 2030, Diabetes Care, vol.27, issue.5, pp.1047-1053, 2004.
DOI : 10.2337/diacare.27.5.1047

G. Yen and W. Leong, A Sorting System for Hierarchical Grading of Diabetic Fundus Images: A Preliminary Study, IEEE Transactions on Information Technology in Biomedicine, vol.12, issue.1, pp.118-130, 2008.
DOI : 10.1109/TITB.2007.910453

M. Niemeijer, B. Van-ginneken, S. R. Russell, M. S. Suttorp-schulten, and M. D. Abrmoff, Automated Detection and Differentiation of Drusen, Exudates, and Cotton-Wool Spots in Digital Color Fundus Photographs for Diabetic Retinopathy Diagnosis, Investigative Opthalmology & Visual Science, vol.48, issue.5, pp.2260-2267, 2007.
DOI : 10.1167/iovs.06-0996

M. Van-grinsven, A. Chakravarty, J. Sivaswamy, T. Theelen, B. Van-ginneken et al., A Bag of Words approach for discriminating between retinal images containing exudates or drusen, 2013 IEEE 10th International Symposium on Biomedical Imaging, pp.1444-1447, 2013.
DOI : 10.1109/ISBI.2013.6556806

R. Pires, H. Jelinek, J. Wainer, S. Goldenstein, E. Valle et al., Assessing the Need for Referral in Automatic Diabetic Retinopathy Detection, IEEE Transactions on Biomedical Engineering, vol.60, issue.12, pp.3391-3398, 2013.
DOI : 10.1109/TBME.2013.2278845

K. Ujjwal, A. Deepak, J. Chakravarty, and . Sivaswamy, Visual saliency based bright lesion detection and discrimination in retinal images, 2013 IEEE 10th International Symposium on Biomedical Imaging, pp.1436-1439, 2013.
DOI : 10.1109/ISBI.2013.6556804

M. J. Cree, E. Gamble, and D. Cornforth, Colour normalisation to reduce inter-patient and intra-patient variability in microaneurysm detection in colour retinal images, Digital Image Computing, pp.163-169, 2005.

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

P. Felzenszwalb, R. Girshick, D. Mcallester, and D. Ramanan, Object detection with discriminatively trained part-based models Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.32, pp.1627-1645, 2010.

A. Vedaldi and B. Fulkerson, Vlfeat, Proceedings of the international conference on Multimedia, MM '10, 2008.
DOI : 10.1145/1873951.1874249

M. Aly, M. Munich, and P. Perona, Using more visual words in bag of words large scale image search, tech. rep, 2011.

C. Chang and C. Lin, LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, pp.1-27, 2011.
DOI : 10.1145/1961189.1961199