Retinal Imaging and Image Analysis, IEEE Reviews in Biomedical Engineering, vol.3, pp.169-208, 2010. ,
DOI : 10.1109/RBME.2010.2084567
Random forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001. ,
DOI : 10.1023/A:1010933404324
A Non-Local Algorithm for Image Denoising, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.60-65, 2005. ,
DOI : 10.1109/CVPR.2005.38
Spectral Domain Optical Coherence Tomography, Archives of Ophthalmology, vol.123, issue.12, pp.1715-1720, 2005. ,
DOI : 10.1001/archopht.123.12.1715
Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation, Optics Express, vol.18, issue.18, pp.19413-19428, 2010. ,
DOI : 10.1364/OE.18.019413
Nonlocal Means-Based Speckle Filtering for Ultrasound Images, IEEE Transactions on Image Processing, vol.18, issue.10, pp.2221-2229, 2009. ,
DOI : 10.1109/TIP.2009.2024064
URL : https://hal.archives-ouvertes.fr/inserm-00428524
Intra-retinal layer segmentation of 3D optical coherence tomography using coarse grained diffusion map, Medical Image Analysis, vol.17, issue.8, pp.907-928, 2013. ,
DOI : 10.1016/j.media.2013.05.006
retinopathy: Miccai-omia-2015, 2015. ,
Automated macular pathology diagnosis in retinal OCT images using multi-scale spatial pyramid and local binary patterns in texture and shape encoding, Medical Image Analysis, vol.15, issue.5, pp.748-759, 2011. ,
DOI : 10.1016/j.media.2011.06.005
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.24, issue.7, pp.971-987, 2002. ,
Three-Dimensional Analysis of Retinal Layer Texture: Identification of Fluid-Filled Regions in SD-OCT of the Macula, IEEE Transactions on Medical Imaging, vol.29, issue.6, pp.1321-1330, 2010. ,
DOI : 10.1109/TMI.2010.2047023
Speckle in Optical Coherence Tomography, Journal of Biomedical Optics, vol.4, issue.1, pp.95-105, 1999. ,
DOI : 10.1117/1.429925
The impact of diabetic retinopathy on health-related quality of life, Current Opinion in Ophthalmology, vol.16, issue.3, pp.155-159, 2005. ,
DOI : 10.1097/01.icu.0000161227.21797.3d
Video Google: a text retrieval approach to object matching in videos, Proceedings Ninth IEEE International Conference on Computer Vision, pp.1470-1477, 2003. ,
DOI : 10.1109/ICCV.2003.1238663
Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images, Biomedical Optics Express, vol.5, issue.10, pp.3568-3577, 2014. ,
DOI : 10.1364/BOE.5.003568
Validating Retinal Fundus Image Analysis Algorithms: Issues and a Proposal, Investigative Opthalmology & Visual Science, vol.54, issue.5, pp.3546-3569, 2013. ,
DOI : 10.1167/iovs.12-10347
URL : https://hal.archives-ouvertes.fr/hal-00824593
Automated age-related macular degeneration classification in oct using unsupervised feature learning, In: SPIE Medical Imaging, vol.9414, p.94141, 2015. ,
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
Rotation-Invariant Image and Video Description With Local Binary Pattern Features, IEEE Transactions on Image Processing, vol.21, issue.4, pp.1465-1477, 2012. ,
DOI : 10.1109/TIP.2011.2175739