Glaucoma risk index: Automated glaucoma detection from color fundus images
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László G. Nyúl | Joachim Hornegger | Jörg Meier | Georg Michelson | Rüdiger Bock | J. Hornegger | G. Michelson | L. Nyúl | L. G. Nyúl | Rüdiger Bock | Jörg Meier
[1] N. Swindale,et al. Automated analysis of normal and glaucomatous optic nerve head topography images. , 2000, Investigative ophthalmology & visual science.
[2] E. DeLong,et al. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. , 1988, Biometrics.
[3] László G. Nyúl,et al. Effects of Preprocessing Eye Fundus Images on Appearance Based Glaucoma Classification , 2007, CAIP.
[4] Roland Wilson,et al. Analysis of Retinal Vasculature Using a Multiresolution Hermite Model , 2007, IEEE Transactions on Medical Imaging.
[5] Max A. Viergever,et al. Ridge-based vessel segmentation in color images of the retina , 2004, IEEE Transactions on Medical Imaging.
[6] Heinrich Niemann,et al. Automated segmentation of the optic nerve head for diagnosis of glaucoma , 2005, Medical Image Anal..
[7] R. Klein,et al. Prevalence of glaucoma. The Beaver Dam Eye Study. , 1992, Ophthalmology.
[8] M. J. Carreira,et al. Localization and Extraction of the Optic Disc Using the Fuzzy Circular Hough Transform , 2006, ICAISC.
[9] Li Wang,et al. Analysis of Retinal Vasculature Using a , 2007 .
[10] Andrew Hunter,et al. An Active Contour Model for Segmenting and Measuring Retinal Vessels , 2009, IEEE Transactions on Medical Imaging.
[11] F. Medeiros,et al. Frequency doubling technology perimetry abnormalities as predictors of glaucomatous visual field loss. , 2004, American journal of ophthalmology.
[12] B C Chauhan,et al. Technique for detecting serial topographic changes in the optic disc and peripapillary retina using scanning laser tomography. , 2000, Investigative ophthalmology & visual science.
[13] Joachim Hornegger,et al. The papilla as screening parameter for early diagnosis of glaucoma. , 2008, Deutsches Arzteblatt international.
[14] Michael Unser,et al. Splines: a perfect fit for signal and image processing , 1999, IEEE Signal Process. Mag..
[15] G. Lavergne,et al. Biometric study of the disc cup in open-angle glaucoma , 2005, Graefe's Archive for Clinical and Experimental Ophthalmology.
[16] A.D. Hoover,et al. Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response , 2000, IEEE Transactions on Medical Imaging.
[17] Carmen A Puliafito,et al. Automated detection of retinal layer structures on optical coherence tomography images. , 2005, Optics express.
[18] Huiqi Li,et al. Boundary detection of optic disk by a modified ASM method , 2003, Pattern Recognit..
[19] Tony F. Chan,et al. Mathematical Models for Local Nontexture Inpaintings , 2002, SIAM J. Appl. Math..
[20] Aliaa A. A. Youssif,et al. Optic Disc Detection From Normalized Digital Fundus Images by Means of a Vessels' Direction Matched Filter , 2008, IEEE Transactions on Medical Imaging.
[21] Mauro Vavassori,et al. Detection of glaucomatous visual field changes using the Moorfields regression analysis of the Heidelberg retina tomograph. , 2003, American journal of ophthalmology.
[22] Andrew Hunter,et al. Optic nerve head segmentation , 2004, IEEE Transactions on Medical Imaging.
[23] Joel S Schuman,et al. Diagnostic tools for glaucoma detection and management. , 2008, Survey of ophthalmology.
[24] Aliaa A. A. Youssif,et al. Comparative Study of Contrast Enhancement and Illumination Equalization Methods for Retinal Vasculat , 2006 .
[25] Xiaodong Wu,et al. Segmentation of the optic nerve head combining pixel classification and graph search , 2007, SPIE Medical Imaging.
[26] M. Foracchia,et al. A new tracking system for the robust extraction of retinal vessel structure , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[27] B. Bengtsson. The prevalence of glaucoma. , 1981, The British journal of ophthalmology.
[28] I. Scott,et al. Expert agreement in evaluating the optic disc for glaucoma. , 1992, Ophthalmology.
[29] Anil A. Bharath,et al. Segmentation of blood vessels from red-free and fluorescein retinal images , 2007, Medical Image Anal..
[30] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] László G. Nyúl,et al. Classifying Glaucoma with Image-Based Features from Fundus Photographs , 2007, DAGM-Symposium.
[32] Charles V. Stewart,et al. Retinal Vessel Centerline Extraction Using Multiscale Matched Filters, Confidence and Edge Measures , 2006, IEEE Transactions on Medical Imaging.
[33] Bernhard Schölkopf,et al. New Support Vector Algorithms , 2000, Neural Computation.
[34] Rangaraj M. Rangayyan,et al. Detection of the Optic Nerve Head in Fundus Images of the Retina Using the Hough Transform for Circles , 2010, Journal of Digital Imaging.
[35] Robert N Weinreb,et al. Comparison of HRT-3 glaucoma probability score and subjective stereophotograph assessment for prediction of progression in glaucoma. , 2008, Investigative ophthalmology & visual science.
[36] W. Feuer,et al. Scanning laser polarimetry with variable and enhanced corneal compensation in normal and glaucomatous eyes. , 2007, American journal of ophthalmology.
[37] Charles V. Stewart,et al. Robust detection and classification of longitudinal changes in color retinal fundus images for monitoring diabetic retinopathy , 2006, IEEE Transactions on Biomedical Engineering.
[38] Bernhard Schölkopf,et al. A tutorial on v-support vector machines , 2005 .
[39] A Sommer,et al. The optic disc in glaucoma. , 1981, The British journal of ophthalmology.
[40] Bram van Ginneken,et al. Segmentation of the Optic Disc, Macula and Vascular Arch in Fundus Photographs , 2007, IEEE Transactions on Medical Imaging.
[41] Juan Xu,et al. Optic disk feature extraction via modified deformable model technique for glaucoma analysis , 2007, Pattern Recognit..
[42] Roberto Marcondes Cesar Junior,et al. Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification , 2005, IEEE Transactions on Medical Imaging.
[43] Bram van Ginneken,et al. Comparative study of retinal vessel segmentation methods on a new publicly available database , 2004, SPIE Medical Imaging.
[44] G. Wollstein,et al. Identification of early glaucoma cases with the scanning laser ophthalmoscope. , 1998, Ophthalmology.
[45] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[46] A. Coleman,et al. Comparison of optic nerve imaging methods to distinguish normal eyes from those with glaucoma. , 2002, Investigative ophthalmology & visual science.
[47] Akram Aldroubi,et al. B-spline signal processing. II. Efficiency design and applications , 1993, IEEE Trans. Signal Process..
[48] Joel S Schuman,et al. Optic nerve head and retinal nerve fiber layer analysis: a report by the American Academy of Ophthalmology. , 2007, Ophthalmology.
[49] Chih-Jen Lin,et al. A tutorial on?-support vector machines , 2005 .
[50] Francisco Melo,et al. StAR: a simple tool for the statistical comparison of ROC curves , 2008, BMC Bioinformatics.
[51] James S. Duncan,et al. Medical Image Analysis , 1999, IEEE Pulse.
[52] Hong Shen,et al. Rapid automated tracing and feature extraction from retinal fundus images using direct exploratory algorithms , 1999, IEEE Transactions on Information Technology in Biomedicine.
[53] Luis Ibáñez,et al. The ITK Software Guide , 2005 .
[54] Guillermo Sapiro,et al. Image inpainting , 2000, SIGGRAPH.
[55] Michael Unser,et al. B-spline signal processing. I. Theory , 1993, IEEE Trans. Signal Process..
[56] Meindert Niemeijer,et al. A linking framework for pixel classification based retinal vessel segmentation , 2009, Medical Imaging.
[57] G. Wollstein,et al. Glaucoma detection with the Heidelberg retina tomograph 3. , 2007, Ophthalmology.
[58] F. Medeiros,et al. Comparison of the GDx VCC scanning laser polarimeter, HRT II confocal scanning laser ophthalmoscope, and stratus OCT optical coherence tomograph for the detection of glaucoma. , 2004, Archives of ophthalmology.
[59] Bram van Ginneken,et al. Fast detection of the optic disc and fovea in color fundus photographs , 2009, Medical Image Anal..
[60] Young H. Kwon,et al. Automated segmentation of the optic disc from stereo color photographs using physiologically plausible features. , 2007, Investigative ophthalmology & visual science.
[61] Elisa Ricci,et al. Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification , 2007, IEEE Transactions on Medical Imaging.