Retinal Imaging and Image Analysis, IEEE Reviews in Biomedical Engineering, vol.3, pp.169-208, 2010. ,
DOI : 10.1109/RBME.2010.2084567
Automatic detection of microaneurysms in diabetic fluorescein angiography., Revue d'´ epidémiologie et de santé publique, pp.3-4, 1984. ,
An Image-Processing Strategy for the Segmentation and Quantification of Microaneurysms in Fluorescein Angiograms of the Ocular Fundus, Computers and Biomedical Research, vol.29, issue.4, pp.284-302, 1996. ,
DOI : 10.1006/cbmr.1996.0021
A comparison of computer based classification methods applied to the detection of microaneurysms in ophthalmic fluorescein angiograms, Computers in biology and medicine, pp.225-238, 1998. ,
DOI : 10.1016/S0010-4825(98)00011-0
Automatic detection of red lesions in digital color fundus photographs, Medical Imaging, IEEE Transactions on, vol.24, issue.5, pp.584-592, 2005. ,
Automated detection and quantification of microaneurysms in fluorescein angiograms, Graefe's archive for clinical and experimental ophthalmology, pp.36-41, 1992. ,
Colour normalisation to reduce inter-patient and intra-patient variability in microaneurysm detection in colour retinal images ,
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
Automatic detection of microaneurysms in color fundus images, Medical Image Analysis, vol.11, issue.6, pp.555-566, 2007. ,
DOI : 10.1016/j.media.2007.05.001
Simple methods for segmentation and measurement of diabetic retinopathy lesions in retinal fundus images, Computer methods and programs in biomedicine, pp.274-293, 2012. ,
An automated decision-support system for non-proliferative diabetic retinopathy disease based on mas and has detection , Computer methods and programs in biomedicine, pp.186-196, 2012. ,
Mixture modelbased clustering and logistic regression for automatic detection of microaneurysms in retinal images, SPIE Medical Imaging Computer- Aided Diagnosis, vol.7260, p.72601, 2009. ,
Retinal microaneurysm detection based on intensity profile analysis, 8th International Conference on Applied Informatics, 2010. ,
DOI : 10.1109/tmi.2012.2228665
URL : http://hdl.handle.net/2437/160255
Retinal microaneurysm detection through local rotating cross-section profile analysis, Medical Imaging, IEEE Transactions on, vol.32, issue.2, pp.400-407, 2013. ,
DOI : 10.1109/tmi.2012.2228665
URL : http://hdl.handle.net/2437/160255
Detection of microaneurysms using multi-scale correlation coefficients, Pattern Recognition, vol.43, issue.6, pp.2237-2248, 2010. ,
DOI : 10.1016/j.patcog.2009.12.017
Micro-aneurysm detection using vessels removal and circular Hough transform, Proceedings of the Nineteenth National Radio Science Conference, pp.421-426, 2002. ,
DOI : 10.1109/NRSC.2002.1022650
Automated microaneurysm detection method based on double ring filter in retinal fundus images, Medical Imaging 2009: Computer-Aided Diagnosis, p.72601, 2009. ,
DOI : 10.1117/12.813468
Accurate detection of blood vessels improves the detection of exudates in color fundus images, Computer methods and programs in biomedicine ,
An approach to localize the retinal blood vessels using bit planes and centerline detection, Computer Methods and Programs in Biomedicine, vol.108, issue.2, pp.600-616, 2012. ,
DOI : 10.1016/j.cmpb.2011.08.009
Blood vessel segmentation methodologies in retinal images ??? A survey, Computer Methods and Programs in Biomedicine, vol.108, issue.1, pp.407-433, 2012. ,
DOI : 10.1016/j.cmpb.2012.03.009
Optimal wavelet transform for the detection of microaneurysms in retina photographs, Medical Imaging, IEEE Transactions on, vol.27, issue.9, pp.1230-1241, 2008. ,
Microaneurysms detection with the radon cliff operator in retinal fundus images, Medical Imaging 2010: Image Processing, pp.76230-76231, 2010. ,
DOI : 10.1117/12.844442
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
A hierarchical bayesian classification for nonvascular lesions detection in fundus images, EMBEC05, 3rd European Medical and Biological Engineering Conference, 2005. ,
A Successive Clutter-Rejection-Based Approach for Early Detection of Diabetic Retinopathy, IEEE Transactions on Biomedical Engineering, vol.58, issue.3, pp.664-673, 2011. ,
DOI : 10.1109/TBME.2010.2096223
An Ensemble-Based System for Microaneurysm Detection and Diabetic Retinopathy Grading, IEEE Transactions on Biomedical Engineering, vol.59, issue.6, pp.1720-1726, 2012. ,
DOI : 10.1109/TBME.2012.2193126
An optimal voting scheme for microaneurysm candidate extractors using simulated annealing, Signal Processing and Multimedia Applications Proceedings of the 2010 International Conference on, pp.80-87, 2010. ,
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 of microaneurysms using robust blob descriptors, Medical Imaging 2013: Computer-Aided Diagnosis, 2013. ,
DOI : 10.1117/12.2007913
URL : https://hal.archives-ouvertes.fr/hal-00784580
Feature detection with automatic scale selection, International Journal of Computer Vision, vol.30, issue.2, pp.79-116, 1998. ,
DOI : 10.1023/A:1008045108935
Scale-space theory in computer vision, 1993. ,
DOI : 10.1007/978-1-4757-6465-9
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
Combining labeled and unlabeled data with cotraining, Proceedings of the eleventh annual conference on Computational learning theory, pp.92-100, 1998. ,
DOI : 10.1145/279943.279962
URL : http://axon.cs.byu.edu/~martinez/classes/678/Papers/Mitchell_cotraining.pdf
Semi-supervised learning literature survey, 2005. ,
LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, pp.1-27, 2011. ,
DOI : 10.1145/1961189.1961199
Di- aretdb1 diabetic retinopathy database and evaluation protocol, Proc. Medical Image Understanding and Analysis (MIUA), pp.61-65, 2007. ,