Retinal Imaging and Image Analysis, IEEE Reviews in Biomedical Engineering, vol.3, pp.169-208, 2010. ,
DOI : 10.1109/RBME.2010.2084567
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3131209
Automated Early Detection of Diabetic Retinopathy, Ophthalmology, vol.117, issue.6, pp.1147-1154, 2010. ,
DOI : 10.1016/j.ophtha.2010.03.046
Web-Based Screening for Diabetic Retinopathy in a Primary Care Population: The EyeCheck Project, Telemedicine and e-Health, vol.11, issue.6, pp.668-674, 2005. ,
DOI : 10.1089/tmj.2005.11.668
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
Methodology for retinal photography and assessment of diabetic retinopathy: the EURODIAB IDDM Complications Study, Diabetologia, vol.33, issue.2, pp.437-444, 1995. ,
DOI : 10.1007/BF00410281
An ensemble-based system for microaneurysm detection, Hungary, 2010. ,
Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques, IEEE Transactions on Medical Imaging, vol.29, issue.11, pp.1860-1869, 2010. ,
DOI : 10.1109/TMI.2010.2053042
Retinal Signs and Stroke: Revisiting the Link Between the Eye and Brain, Stroke, vol.39, issue.4, pp.1371-1379, 2008. ,
DOI : 10.1161/STROKEAHA.107.496091
Automatic detection of microaneurysms in diabetic fluorescein angiography, Rev Epidemiol Sante Publique, vol.32, issue.3- 4, pp.254-261, 1984. ,
Speeded-Up Robust Features (SURF), Computer Vision and Image Understanding, vol.110, issue.3, pp.346-359, 2008. ,
DOI : 10.1016/j.cviu.2007.09.014
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.738
Pattern Recognition and Machine Learning, 2007. ,
Pyramidal implementation of the lucas kanade feature tracker description of the algorithm, Intel Corporation, Microprocessor Research, 2000. ,
Random forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001. ,
DOI : 10.1023/A:1010933404324
DICTIONARY OF EYE TERMINOLOGY, Optometry and Vision Science, vol.61, issue.8, 1990. ,
DOI : 10.1097/00006324-198408000-00013
Retina Mosaicing Using Local Features, Med Image Comput Comput Assist Interv, issue.9 2, pp.185-192, 2006. ,
DOI : 10.1007/11866763_23
LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, 2001. ,
DOI : 10.1145/1961189.1961199
3-D Retinal Curvature Estimation, IEEE Transactions on Information Technology in Biomedicine, vol.13, issue.6, pp.997-1005, 2009. ,
DOI : 10.1109/TITB.2009.2027014
Detection of blood vessels in retinal images using two-dimensional matched filters, IEEE Transactions on Medical Imaging, vol.8, issue.3, 1989. ,
DOI : 10.1109/42.34715
Laboratory Tests and Diagnostic Procedures. Philadelphia: Saunders, 2004. ,
3-d shape reconstruction of retinal fundus, Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.2277-2284, 2006. ,
Detection of blood vessels in ophthalmoscope images using MF/ant (matched filter/ant colony) algorithm, Computer Methods and Programs in Biomedicine, vol.96, issue.2, pp.85-95, 2009. ,
DOI : 10.1016/j.cmpb.2009.04.005
Digital stereo image analyzer for generating automated 3-D measures of optic disc deformation in glaucoma, IEEE Transactions on Medical Imaging, vol.21, issue.10, pp.1244-1253, 2002. ,
DOI : 10.1109/TMI.2002.806293
Colour normalisation to reduce interpatient and intra-patient variability in microaneurysm detection in colour retinal images, WDIC2005 ARPS Workshop on Digital Image Computing. (Cited in section 2, 2005. ,
Pattern Classification, Wiley-Interscience, 2001. ,
Simultaneous localization and mapping: part I, IEEE Robotics & Automation Magazine, vol.13, issue.2, pp.99-110, 2006. ,
DOI : 10.1109/MRA.2006.1638022
Multiframe demosaicing and super-resolution of color images, IEEE Transactions on Image Processing, vol.15, issue.1, pp.141-159, 2006. ,
DOI : 10.1109/TIP.2005.860336
Roc graphs : Notes and practical considerations for researchers, 2004. ,
An introduction to roc analysis. Pattern recognition letters, pp.861-874, 2006. ,
Enhancing retinal image by the Contourlet transform, Pattern Recognition Letters, vol.28, issue.4, pp.516-522, 2007. ,
DOI : 10.1016/j.patrec.2006.09.007
The role of haemorrhage and exudate detection in automated grading of diabetic retinopathy, British Journal of Ophthalmology, vol.94, issue.6, 2010. ,
DOI : 10.1136/bjo.2008.149807
Automatic detection of retinal anatomy to assist diabetic retinopathy screening, Physics in Medicine and Biology, vol.52, issue.2, pp.331-345, 2007. ,
DOI : 10.1088/0031-9155/52/2/002
Automated microaneurysm detection using local contrast normalization and local vessel detection, IEEE Transactions on Medical Imaging, vol.25, issue.9, pp.1223-1232, 2006. ,
DOI : 10.1109/TMI.2006.879953
Detection of Optic Disc in Retinal Images by Means of a Geometrical Model of Vessel Structure, IEEE Transactions on Medical Imaging, vol.23, issue.10, pp.1189-1195, 2004. ,
DOI : 10.1109/TMI.2004.829331
Luminosity and contrast normalization in retinal images, Medical Image Analysis, vol.9, issue.3, pp.179-190, 2005. ,
DOI : 10.1016/j.media.2004.07.001
A comparison of computer based classification methods applied to the detection of microaneurysms in ophthalmic fluorescein angiograms, Computers in Biology and Medicine, vol.28, issue.3, pp.225-238, 1998. ,
DOI : 10.1016/S0010-4825(98)00011-0
The design and use of steerable filters, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.9, pp.891-906, 1991. ,
DOI : 10.1109/34.93808
Neural network based detection of hard exudates in retinal images, Computer Methods and Programs in Biomedicine, vol.93, issue.1, pp.9-19, 2009. ,
DOI : 10.1016/j.cmpb.2008.07.006
Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool., British Journal of Ophthalmology, vol.80, issue.11, 1996. ,
DOI : 10.1136/bjo.80.11.940
Elliptical local vessel density: A fast and robust quality metric for retinal images, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008. ,
DOI : 10.1109/IEMBS.2008.4649968
Exudate-based diabetic macular edema detection in fundus images using publicly available datasets, Medical Image Analysis, vol.16, issue.1, 2011. ,
DOI : 10.1016/j.media.2011.07.004
URL : https://hal.archives-ouvertes.fr/hal-00639756
Automatic retina exudates segmentation without a manually labelled training set, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011. ,
DOI : 10.1109/ISBI.2011.5872661
URL : https://hal.archives-ouvertes.fr/hal-00585177
Textureless Macula Swelling Detection With Multiple Retinal Fundus Images, IEEE Transactions on Biomedical Engineering, vol.58, issue.3, pp.795-799, 2011. ,
DOI : 10.1109/TBME.2010.2095852
URL : https://hal.archives-ouvertes.fr/hal-00580706
Digital Image Processing, 2002. ,
Automated Grading of Venous Beading, Computers and Biomedical Research, vol.28, issue.4, pp.291-304, 1995. ,
DOI : 10.1006/cbmr.1995.1020
Automatic Analysis of Retinal Images: Retinopathy Detection and Grading, 2005. ,
A Novel Method for the Automatic Grading of Retinal Vessel Tortuosity, IEEE Transactions on Medical Imaging, vol.27, issue.3, pp.310-319, 2008. ,
DOI : 10.1109/TMI.2007.904657
Inter-rater reliability: dependency on trait prevalence and marginal homogeneity. Statistical Methods For Inter-Rater Reliability Assessment Series, pp.1-9, 2002. ,
Numerically stable direct least squares fitting of ellipses, Czech Republic, 2000. ,
Multiple View Geometry in Computer Vision, 2003. ,
DOI : 10.1017/CBO9780511811685
Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis, Medical Image Analysis, vol.6, issue.4, pp.407-429, 2002. ,
DOI : 10.1016/S1361-8415(02)00058-0
Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels, IEEE Transactions on Medical Imaging, vol.22, issue.8, pp.951-958, 2003. ,
DOI : 10.1109/TMI.2003.815900
Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response, IEEE Transactions on Medical Imaging, vol.19, issue.3, pp.203-210, 2000. ,
DOI : 10.1109/42.845178
Effectiveness of screening and monitoring tests for diabetic retinopathy - a systematic review, Diabetic Medicine, vol.1, issue.7, pp.495-506, 2000. ,
DOI : 10.1002/(SICI)1096-9136(199611)13:11<946::AID-DIA245>3.0.CO;2-U
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
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.123.8151
Adaptive local thresholding by verification-based multithreshold probing with application to vessel detection in retinal images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.1, pp.131-137, 2003. ,
DOI : 10.1109/TPAMI.2003.1159954
Count and density of human retinal photoreceptors. Graefe's Arch Clin Exp Ophthalmol, pp.505-510, 1992. ,
Retinal vascular disease, 2007. ,
DOI : 10.1007/978-3-540-29542-6
Practical considerations for optic nerve location in telemedicine, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.6205-6209, 2009. ,
DOI : 10.1109/IEMBS.2009.5334626
the DIARETDB1 diabetic retinopathy database and evaluation protocol, Procedings of the British Machine Vision Conference 2007, 2007. ,
DOI : 10.5244/C.21.15
Lossless image compression via predictive coding of discrete Radon projections, Signal Processing: Image Communication, vol.23, issue.4, 2008. ,
DOI : 10.1016/j.image.2008.03.001
URL : https://hal.archives-ouvertes.fr/hal-00287982
Computer determination of the constituent structure of biological images, Computers and Biomedical Research, vol.4, issue.3, pp.315-328, 1971. ,
DOI : 10.1016/0010-4809(71)90034-6
<emphasis emphasistype="mono">elastix</emphasis>: A Toolbox for Intensity-Based Medical Image Registration, IEEE Transactions on Medical Imaging, vol.29, issue.1, pp.196-205, 2010. ,
DOI : 10.1109/TMI.2009.2035616
Automatic visual quality assessment in optical fundus images, Proceedings of Vision Interface, 2001. ,
Microaneurisms detection in retinal images using a rotating cross-section based model, Proc. of IEEE International Symposium on Biomedical Imaging, 2011. ,
Shape detection in computer vision using the hough transform, 1992. ,
DOI : 10.1007/978-1-4471-1940-1
Automatic retinal image quality assessment and enhancement, Proceedings of SPIE Image ProcessingCited in section 2, pp.1581-1590, 1999. ,
DOI : 10.1117/12.348562
Automated Feature Extraction in Color Retinal Images by a Model Based Approach, IEEE Transactions on Biomedical Engineering, vol.51, issue.2, pp.246-254, 2004. ,
DOI : 10.1109/TBME.2003.820400
Monoscopic vs. stereoscopic retinal photography for grading diabetic retinopathy severity, Invest Ophthalmol Vis Sci, 2010. ,
A hipaa-compliant ocular telehealth network for the remote diagnosis and management of diabetic retinopathy, Telemedicine and eHealth, 2011. ,
The sensitivity and specificity of singlefield nonmydriatic monochromatic digital fundus photography with remote image interpretation for diabetic retinopathy screening: a comparison with ophthalmoscopy and standardized mydriatic color photography, American Journal of Ophthalmology, vol.134, pp.261-264, 2002. ,
COMPLICATIONS OF INTRAVENOUS FLUORESCEIN INJECTIONS, International Ophthalmology Clinics, vol.29, issue.3, pp.200-205, 1989. ,
DOI : 10.1097/00004397-198902930-00011
Radon representation-based feature descriptor for texture classification, IEEE Trans on Image Proc, vol.18, pp.921-928, 2009. ,
A wavelet tour of signal processing Academic press, 1999. ,
A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features, IEEE Transactions on Medical Imaging, vol.30, issue.1, pp.146-158, 2011. ,
DOI : 10.1109/TMI.2010.2064333
3-D Retinal Surface Inference: Stereo or Monocular Fundus Camera?, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007. ,
DOI : 10.1109/IEMBS.2007.4352435
Segmentation of blood vessels from red-free and fluorescein retinal images, Medical Image Analysis, vol.11, issue.1, 2007. ,
DOI : 10.1016/j.media.2006.11.004
The fundamental plan of the retina, Nature Neuroscience, vol.42, issue.9, pp.877-886, 2001. ,
DOI : 10.1038/nn0901-877
PET-CT image registration in the chest using free-form deformations, IEEE Transactions on Medical Imaging, vol.22, issue.1, pp.120-128, 2003. ,
DOI : 10.1109/TMI.2003.809072
Complications of diabetes: screening for retinopathy and management of foot ulcers, Quality in Health Care, vol.9, issue.2, pp.137-141, 2000. ,
DOI : 10.1136/qhc.9.2.137
Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction, IEEE Transactions on Medical Imaging, vol.25, issue.9, pp.1200-1213, 2006. ,
DOI : 10.1109/TMI.2006.879955
ROC Methodology in Radiologic Imaging, Investigative Radiology, vol.21, issue.9, pp.720-733, 1986. ,
DOI : 10.1097/00004424-198609000-00009
Automated microaneurysm detection method based on double ring filter in retinal fundus images, Medical Imaging 2009: Computer-Aided Diagnosis, p.7260, 2009. ,
DOI : 10.1117/12.813468
Quantitative depth analysis of optic nerve head using stereo retinal fundus image pair, Journal of Biomedical Optics, vol.13, issue.6, p.64026, 2008. ,
DOI : 10.1117/1.3041711
Image structure clustering for image quality verification of color retina images in diabetic retinopathy screening, Cited in section 2, pp.888-898, 2006. ,
DOI : 10.1016/j.media.2006.09.006
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
Fast detection of the optic disc and fovea in color fundus photographs, Medical Image Analysis, vol.13, issue.6, pp.859-870, 2009. ,
DOI : 10.1016/j.media.2009.08.003
Vessel segmentation in 3D spectral OCT scans of the retina, Medical Imaging 2008: Image Processing, 2008. ,
DOI : 10.1117/12.772680
Segmentation of the Optic Disc, Macula and Vascular Arch in Fundus Photographs, IEEE Transactions on Medical Imaging, vol.26, issue.1, pp.116-127, 2007. ,
DOI : 10.1109/TMI.2006.885336
Comparative study of retinal vessel segmentation methods on a new publicly available database. Proceeding of SPIE Medical Imaging, pp.648-657, 2004. ,
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
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
Automatic detection of red lesions in digital color fundus photographs, IEEE Transactions on Medical Imaging, vol.24, issue.5, 2005. ,
DOI : 10.1109/TMI.2005.843738
Distribution of Capillary Nonperfusion in Early-stage Diabetic Retinopathy, Ophthalmology, vol.91, issue.12, pp.1431-1439, 1984. ,
DOI : 10.1016/S0161-6420(84)34126-4
A comparative study of texture measures with classification based on featured distributions, Pattern Recognition, vol.29, issue.1, pp.51-59, 1996. ,
DOI : 10.1016/0031-3203(95)00067-4
Automated identification of diabetic retinal exudates in digital colour images, British Journal of Ophthalmology, vol.87, issue.10, pp.1220-1223, 2003. ,
DOI : 10.1136/bjo.87.10.1220
A Threshold Selection Method from Gray-Level Histograms, IEEE Transactions on Systems, Man, and Cybernetics, vol.9, issue.1, pp.62-66, 1979. ,
DOI : 10.1109/TSMC.1979.4310076
Super-resolution image reconstruction: a technical overview, IEEE Signal Processing Magazine, vol.20, issue.3, pp.21-36, 2003. ,
DOI : 10.1109/MSP.2003.1203207
Age-Related Macular Degeneration, JAMA, vol.295, issue.20, 2001. ,
DOI : 10.1001/jama.295.20.2438
Retinal image analysis: Concepts, applications and potential, Progress in Retinal and Eye Research, vol.25, issue.1, pp.99-127, 2006. ,
DOI : 10.1016/j.preteyeres.2005.07.001
Automated quality assessment of retinal fundus photos, International Journal of Computer Assisted Radiology and Surgery, vol.3, issue.6, pp.557-564, 2010. ,
DOI : 10.1007/s11548-010-0479-7
The efficacy of automated "disease/no disease" grading for diabetic retinopathy in a systematic screening programme, British Journal of Ophthalmology, vol.91, issue.11, pp.911512-1517, 2007. ,
DOI : 10.1136/bjo.2007.119453
Automated detection and quantification of retinal exudates, Graefe's Archive for Clinical and Experimental Ophthalmology, vol.26, issue.2, pp.90-94, 1993. ,
DOI : 10.1007/BF00920219
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
Optimal Filter Framework for Automated, Instantaneous Detection of Lesions in Retinal Images, IEEE Transactions on Medical Imaging, vol.30, issue.2, pp.523-533, 2011. ,
DOI : 10.1109/TMI.2010.2089383
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
Global data on visual impairment in the year 2002, Bulletin of the World Health Organization, vol.82, pp.844-851, 2004. ,
Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification, IEEE Transactions on Medical Imaging, vol.26, issue.10, pp.1357-1365, 2007. ,
DOI : 10.1109/TMI.2007.898551
Ellipse fitting by accumulating five-point fits, Pattern Recognition Letters, vol.14, issue.8, pp.661-699, 1993. ,
DOI : 10.1016/0167-8655(93)90052-F
Nonrigid registration using free-form deformations: application to breast MR images, IEEE Transactions on Medical Imaging, vol.18, issue.8, pp.712-721, 1999. ,
DOI : 10.1109/42.796284
Fundus photography: What is a fundus camera? Ophthalmic Photographers, Society, 2006. ,
Retinal image analysis based on mixture models to detect hard exudates, Medical Image Analysis, vol.13, issue.4, pp.650-658, 2009. ,
DOI : 10.1016/j.media.2009.05.005
Mixture model-based clustering and logistic regression for automatic detection of microaneurysms in retinal images, Medical Imaging 2009: Computer-Aided Diagnosis, p.7260, 2009. ,
DOI : 10.1117/12.812088
Screening for Diabetic Retinopathy, Annals of Internal Medicine, vol.116, issue.8, pp.660-671, 1992. ,
DOI : 10.7326/0003-4819-116-8-660
Automated detection of diabetic retinopathy on digital fundus images, Diabetic Medicine, vol.97, issue.2, pp.105-112, 2002. ,
DOI : 10.1046/j.1464-5491.2002.00613.x
Retinal vessel segmentation using the 2-d gabor wavelet and supervised classification Automatic detection of diabetic retinopathy exudates from non-dilated retinal images using mathematical morphology methods, Computerized Medical Imaging and Graphics, vol.32, issue.8, pp.720-727, 2006. ,
Ridge-Based Vessel Segmentation in Color Images of the Retina, IEEE Transactions on Medical Imaging, vol.23, issue.4, pp.501-509, 2004. ,
DOI : 10.1109/TMI.2004.825627
Vascular network changes in the retina with age and hypertension, Journal of Hypertension, vol.1312, issue.2, pp.1724-1728, 1995. ,
Progress towards automated diabetic ocular screening: A review of image analysis and intelligent systems for diabetic retinopathy, Medical & Biological Engineering & Computing, vol.13, issue.1, pp.2-13, 2002. ,
DOI : 10.1007/BF02347689
Front-End Vision and Multi-Scale Image Analysis, 2003. ,
DOI : 10.1007/978-1-4020-8840-7
Current medical Diagnosis & Treatment. International edition, 2002. ,
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
A Web-Based System for the Quantitative and Reproducible Assessment of Clinical Indexes From the Retinal Vasculature, IEEE Transactions on Biomedical Engineering, vol.58, issue.3, pp.818-821, 2011. ,
DOI : 10.1109/TBME.2010.2085001
Automated assessment of digital fundus image quality using detected vessel area, Proceedings of Medical Image Understanding and Analysis British Machine Vision Association (BMVA), pp.81-84, 2003. ,
Cost-Utility Analysis of Screening Intervals for Diabetic Retinopathy in Patients With Type 2 Diabetes Mellitus, JAMA, vol.283, issue.7, pp.889-896, 2000. ,
DOI : 10.1001/jama.283.7.889
Morphological grayscale reconstruction in image analysis: applications and efficient algorithms, IEEE Transactions on Image Processing, vol.2, issue.2, pp.176-201, 1993. ,
DOI : 10.1109/83.217222
Detection of fundus abnormalities using 3d-oct versus mydriatic color fundus imaging, ARVO 2010, 2010. ,
A contribution of image processing to the diagnosis of diabetic retinopathy-detection of exudates in color fundus images of the human retina, IEEE Transactions on Medical Imaging, vol.21, issue.10, pp.1236-1243, 2002. ,
DOI : 10.1109/TMI.2002.806290
Illumination normalization of retinal images using sampling and interpolation, Proceedings of SPIE, 2001. ,
Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales, Ophthalmology, vol.110, issue.9, pp.1677-1682, 2003. ,
DOI : 10.1016/S0161-6420(03)00475-5
Single-field fundus photography for diabetic retinopathy screening, Ophthalmology, vol.111, issue.5, pp.1055-1062, 2004. ,
DOI : 10.1016/j.ophtha.2004.02.004
URL : http://doi.org/10.1016/j.ophtha.2004.02.004
Gray's anatomy, Churchill livingstone Edinburgh, 1989. ,
Retinal microvascular abnormalities and incident stroke: the Atherosclerosis Risk in Communities Study, The Lancet, vol.358, issue.9288, pp.1134-1140, 2001. ,
DOI : 10.1016/S0140-6736(01)06253-5
Auto-adjusted 3-D optic disk viewing from low-resolution stereo fundus image, Computers in Biology and Medicine, vol.36, issue.9, pp.921-940, 2006. ,
DOI : 10.1016/j.compbiomed.2005.05.001
A comparative study on feature selection in text categorization, Machine Learning international workshop 10th conference, pp.412-420, 1997. ,
Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation, IEEE Transactions on Image Processing, vol.10, issue.7, pp.1010-1019, 2001. ,
DOI : 10.1109/83.931095
Hierarchical detection of red lesions in retinal images by multiscale correlation filtering, Medical Imaging 2009: Computer-Aided Diagnosis, p.7260, 2009. ,
DOI : 10.1117/12.813913