Segmentation of retinal vessels with a hysteresis binary-classification paradigm
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[1] Til Aach,et al. Bayesian algorithms for adaptive change detection in image sequences using Markov random fields , 1995, Signal Process. Image Commun..
[2] Nicky Lai,et al. Clinical Ophthalmology: A Systematic Approach, 5th ed. , 2004 .
[3] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Robert P. W. Duin,et al. Linear dimensionality reduction via a heteroscedastic extension of LDA: the Chernoff criterion , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Alfred Mertins,et al. An LDA-based Relative Hysteresis Classifier with Application to Segmentation of Retinal Vessels , 2010, 2010 20th International Conference on Pattern Recognition.
[6] Charles V. Stewart,et al. Retinal Vessel Centerline Extraction Using Multiscale Matched Filters, Confidence and Edge Measures , 2006, IEEE Transactions on Medical Imaging.
[7] Hong Shen,et al. Optimal scheduling of tracing computations for real-time vascular landmark extraction from retinal fundus images , 2001, IEEE Transactions on Information Technology in Biomedicine.
[8] Til Aach,et al. Supervised, hysteresis-based segmentation of retinal images using the linear-classifier percentile , 2009, GI Jahrestagung.
[9] José Manuel Bravo,et al. A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features , 2011, IEEE Transactions on Medical Imaging.
[10] Francis K. H. Quek,et al. A review of vessel extraction techniques and algorithms , 2004, CSUR.
[11] Til Aach,et al. Imaging and analysis of angiogenesis for skin transplantation by microangiography , 2005, IEEE International Conference on Image Processing 2005.
[12] Til Aach,et al. Vessel Segmentation in 2D-Projection Images Using a Supervised Linear Hysteresis Classifier , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[13] Roberto Marcondes Cesar Junior,et al. Retinal Vessel Segmentation Using the 2-D Morlet Wavelet and Supervised Classification , 2005, ArXiv.
[14] G Valli,et al. An algorithm for real-time vessel enhancement and detection. , 1997, Computer methods and programs in biomedicine.
[15] Xiaoyi Jiang,et al. Adaptive Local Thresholding by Verification-Based Multithreshold Probing with Application to Vessel Detection in Retinal Images , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[16] Josef Kittler,et al. Floating search methods in feature selection , 1994, Pattern Recognit. Lett..
[17] Bülent Sankur,et al. Survey over image thresholding techniques and quantitative performance evaluation , 2004, J. Electronic Imaging.
[18] Alejandro F. Frangi,et al. Muliscale Vessel Enhancement Filtering , 1998, MICCAI.
[19] Roberto Marcondes Cesar Junior,et al. Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification , 2005, IEEE Transactions on Medical Imaging.
[20] Til Aach,et al. Vessel Segmentation for Angiographic Enhancement and Analysis , 2005, Bildverarbeitung für die Medizin.
[21] 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.
[22] Martha Elizabeth Shenton,et al. On evaluating brain tissue classifiers without a ground truth , 2007, NeuroImage.
[23] Anil A. Bharath,et al. Segmentation of blood vessels from red-free and fluorescein retinal images , 2007, Medical Image Anal..
[24] T. Aach,et al. Transformation of adaptive thresholds by significance invariance for change detection , 2005, IEEE/SP 13th Workshop on Statistical Signal Processing, 2005.
[25] B. G. Haskell,et al. A frame-to-frame picturephone® coder for signals containing differential quantizing noise , 1973 .
[26] Alexandru Condurache,et al. Cardiovascular biomedical image analysis: methods and applications , 2006 .
[27] D. Klonoff,et al. An economic analysis of interventions for diabetes. , 2000, Diabetes care.
[28] Til Aach,et al. Vessel Segmentation in Angiograms using Hysteresis Thresholding , 2005, MVA.
[29] Bunyarit Uyyanonvara,et al. An approach to localize the retinal blood vessels using bit planes and centerline detection , 2012, Comput. Methods Programs Biomed..
[30] Til Aach,et al. Vessel segmentation and analysis in laboratory skin transplant micro-angiograms , 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).
[31] Elisa Ricci,et al. Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification , 2007, IEEE Transactions on Medical Imaging.
[32] Jerry L Prince,et al. Current methods in medical image segmentation. , 2000, Annual review of biomedical engineering.
[33] Keinosuke Fukunaga,et al. Introduction to Statistical Pattern Recognition , 1972 .
[34] Ana Maria Mendonça,et al. Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction , 2006, IEEE Transactions on Medical Imaging.
[35] Jerry L. Prince,et al. A Survey of Current Methods in Medical Image Segmentation , 1999 .
[36] Ilya Shmulevich,et al. Robust quantification of in vitro angiogenesis through image analysis , 2005, IEEE Transactions on Medical Imaging.
[37] Sabee Molloi,et al. Multiresolution vessel tracking in angiographic images using valley courses , 2003 .
[38] Alan Wee-Chung Liew,et al. General Retinal Vessel Segmentation Using Regularization-Based Multiconcavity Modeling , 2010, IEEE Transactions on Medical Imaging.
[39] Max A. Viergever,et al. Ridge-based vessel segmentation in color images of the retina , 2004, IEEE Transactions on Medical Imaging.