Measurement of retinal vessel widths from fundus images based on 2-D modeling
暂无分享,去创建一个
Andrew Hunter | Richard Lee Kennedy | James Lowell | David Steel | Ansu Basu | Robert Ryder | A. Hunter | J. Lowell | A. Basu | R. Ryder | R. Kennedy | D. Steel
[1] Gregory D. Hager,et al. Probabilistic Data Association Methods for Tracking Complex Visual Objects , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[2] Hideki Kuga,et al. A computer method of understanding ocular fundus images , 1982, Pattern Recognit..
[3] Liang Zhou,et al. The detection and quantification of retinopathy using digital angiograms , 1994, IEEE Trans. Medical Imaging.
[4] Andrew Hunter,et al. Novelty Detection in Video Surveillance Using Hierarchical Neural Networks , 2002, ICANN.
[5] R. Klein,et al. Retinal microvascular abnormalities and incident stroke: the Atherosclerosis Risk in Communities Study , 2001, The Lancet.
[6] J. C. Parr,et al. Comparison of methods of measuring vessel widths on retinal photographs and the effect of fluorescein injection on apparent retinal vessel calibers. , 1969, American journal of ophthalmology.
[7] E. Aurell,et al. Signs in the fundus oculi and arterial hypertension: unconventional assessment and significance. , 1967, Bulletin of the World Health Organization.
[8] N. Chapman,et al. Peripheral vascular disease is associated with abnormal arteriolar diameter relationships at bifurcations in the human retina. , 2002, Clinical science.
[9] Keith D. Baker,et al. Visual surveillance using deformable models of vehicles , 1997, Robotics Auton. Syst..
[10] R. Klein,et al. Retinal microvascular abnormalities and their relationship with hypertension, cardiovascular disease, and mortality. , 2001, Survey of ophthalmology.
[11] Ramakant Nevatia,et al. Event Detection and Analysis from Video Streams , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Nasser Kehtarnavaz,et al. Real-Time Vision-based Detection of Waiting Pedestrians , 1997, Real Time Imaging.
[13] Aleksej Makarov. Comparison of background extraction based intrusion detection algorithms , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.
[14] 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.
[15] Anthony D. Worrall,et al. A statistically-based Newton method for pose refinement , 1998, Image Vis. Comput..
[16] W. Eric L. Grimson,et al. Learning Patterns of Activity Using Real-Time Tracking , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[17] E M Kohner,et al. Accurate vessel width measurement from fundus photographs: a new concept. , 1994, The British journal of ophthalmology.
[18] R. Klein,et al. Retinal arteriolar diameters and elevated blood pressure: the Atherosclerosis Risk in Communities Study. , 1999, American journal of epidemiology.
[19] T Behrendt,et al. Scanning densitometer for photographic fundus measurements. , 1966, American journal of ophthalmology.
[20] Fabio Roli,et al. Learning and Classification of Suspicious Events for Advanced Visual-Based Surveillance , 2000 .
[21] Olaf Brinchmann‐Hansen,et al. The apparent and true width of the blood column in retinal vessels , 1986 .
[22] Gian Luca Foresti,et al. Multimedia Video-Based Surveillance Systems: Requirements, Issues and Solutions , 2000 .
[23] Brett D. Thackray,et al. Semi-automatic segmentation of vascular network images using a rotating structuring element (ROSE) with mathematical morphology and dual feature thresholding , 1993, IEEE Trans. Medical Imaging.
[24] Olaf Brinchmann-Hansen,et al. Theoretical relations between light streak characteristics and optical properties of retinal vessels , 1986 .
[25] M. Goldbaum,et al. Detection of blood vessels in retinal images using two-dimensional matched filters. , 1989, IEEE transactions on medical imaging.
[26] Xiaohong W. Gao,et al. Quantification and characterisation of arteries in retinal images , 2000, Comput. Methods Programs Biomed..
[27] Fundus photographic risk factors for progression of diabetic retinopathy. ETDRS report number 12. Early Treatment Diabetic Retinopathy Study Research Group. , 1991, Ophthalmology.
[28] R. Stephenson. A and V , 1962, The British journal of ophthalmology.
[29] Shankar M. Krishnan,et al. Detection and measurement of retinal vessels in fundus images using amplitude modified second-order Gaussian filter , 2002, IEEE Transactions on Biomedical Engineering.
[30] Gian Luca Foresti. A real-time system for video surveillance of unattended outdoor environments , 1998, IEEE Trans. Circuits Syst. Video Technol..
[31] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[32] A. Bharath,et al. Computer algorithms for the automated measurement of retinal arteriolar diameters , 2001, The British journal of ophthalmology.
[33] P. Gregson,et al. Automated grading of venous beading. , 1995, Computers and biomedical research, an international journal.
[34] C. Zheng,et al. ; 0 ; , 1951 .
[35] Andrew Hunter,et al. Application of the self-organising map to trajectory classification , 2000, Proceedings Third IEEE International Workshop on Visual Surveillance.
[36] Tieniu Tan,et al. An Integrated Traffic and Pedestrian Model-Based Vision System , 1997, BMVC.
[37] Oddbjørn Engvold,et al. Microphotometry of the blood column and the light streak on retinal vessels in fundus photographs , 1986 .
[38] Bjarne K. Ersbøll,et al. Quantitative measurement of changes in retinal vessel diameter in ocular fundus images , 2000, Pattern Recognit. Lett..
[39] Sergio A. Velastin,et al. Image Processing System for Pedestrian Monitoring Using Neural Classification of Normal Motion Patterns , 1999 .