A supervised method for retinal image vessel segmentation by embedded learning and classification

[1]  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.

[2]  Ali Mahlooji Far,et al.  Retinal Image Analysis Using Curvelet Transform and Multistructure Elements Morphology by Reconstruction , 2011, IEEE Transactions on Biomedical Engineering.

[3]  C. Sinthanayothin,et al.  Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images , 1999, The British journal of ophthalmology.

[4]  Bunyarit Uyyanonvara,et al.  An approach to localize the retinal blood vessels using bit planes and centerline detection , 2012, Comput. Methods Programs Biomed..

[5]  M. Goldbaum,et al.  Detection of blood vessels in retinal images using two-dimensional matched filters. , 1989, IEEE transactions on medical imaging.

[6]  Xiaohong W. Gao,et al.  Quantification and characterisation of arteries in retinal images , 2000, Comput. Methods Programs Biomed..

[7]  Alfred L. Nuttall,et al.  Matched filter estimation of serial blood vessel diameters from video images , 1993, IEEE Trans. Medical Imaging.

[8]  Max A. Viergever,et al.  A trained spin-glass model for grouping of image primitives , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Liang Zhou,et al.  The detection and quantification of retinopathy using digital angiograms , 1994, IEEE Trans. Medical Imaging.

[10]  Léon Bottou,et al.  On-line learning and stochastic approximations , 1999 .

[11]  Alan Wee-Chung Liew,et al.  General Retinal Vessel Segmentation Using Regularization-Based Multiconcavity Modeling , 2010, IEEE Transactions on Medical Imaging.

[12]  Emanuele Trucco,et al.  FABC: Retinal Vessel Segmentation Using AdaBoost , 2010, IEEE Transactions on Information Technology in Biomedicine.

[13]  Max A. Viergever,et al.  Ridge-based vessel segmentation in color images of the retina , 2004, IEEE Transactions on Medical Imaging.

[14]  Qinmu Peng,et al.  Segmentation of retinal blood vessels using the radial projection and semi-supervised approach , 2011, Pattern Recognit..

[15]  Stephen R. Aylward,et al.  Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction , 2002, IEEE Transactions on Medical Imaging.

[16]  Chandan Chakraborty,et al.  Small retinal vessels extraction towards proliferative diabetic retinopathy screening , 2012, Expert Syst. Appl..

[17]  Roberto Marcondes Cesar Junior,et al.  Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification , 2005, IEEE Transactions on Medical Imaging.

[18]  Anil A. Bharath,et al.  Retinal Blood Vessel Segmentation by Means of Scale-Space Analysis and Region Growing , 1999, MICCAI.

[19]  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..

[20]  Elisa Ricci,et al.  Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification , 2007, IEEE Transactions on Medical Imaging.

[21]  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.

[22]  Roberto Marcondes Cesar Junior,et al.  Retinal Vessel Segmentation Using the 2-D Morlet Wavelet and Supervised Classification , 2005, ArXiv.

[23]  Bunyarit Uyyanonvara,et al.  Blood vessel segmentation methodologies in retinal images - A survey , 2012, Comput. Methods Programs Biomed..

[24]  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.

[25]  F. Zana,et al.  Robust segmentation of vessels from retinal angiography , 1997, Proceedings of 13th International Conference on Digital Signal Processing.

[26]  Julien Jomier,et al.  Quantification of Retinopathy of Prematurity via Vessel Segmentation , 2003, MICCAI.

[27]  Frédéric Zana,et al.  Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation , 2001, IEEE Trans. Image Process..

[28]  John Flynn,et al.  Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis , 2002, Medical Image Anal..

[29]  Karel J. Zuiderveld,et al.  Contrast Limited Adaptive Histogram Equalization , 1994, Graphics Gems.

[30]  Badrinath Roysam,et al.  Robust model-based vasculature detection in noisy biomedical images , 2004, IEEE Transactions on Information Technology in Biomedicine.

[31]  Yannis A. Tolias,et al.  A fuzzy vessel tracking algorithm for retinal images based on fuzzy clustering , 1998, IEEE Transactions on Medical Imaging.

[32]  T. Williamson,et al.  Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool. , 1996, The British journal of ophthalmology.

[33]  Bunyarit Uyyanonvara,et al.  Retinal vessel segmentation using ensemble classifier of bagged decision trees , 2012 .

[34]  Robert Marti,et al.  Automatic Registration of Mammograms Based on Linear Structures , 2001, IPMI.

[35]  Kim L. Boyer,et al.  Retinal thickness measurements from optical coherence tomography using a Markov boundary model , 2001, IEEE Transactions on Medical Imaging.

[36]  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.

[37]  Andrew Hunter,et al.  An Active Contour Model for Segmenting and Measuring Retinal Vessels , 2009, IEEE Transactions on Medical Imaging.