A Review On: An Automatic Detection of Vascular Change in Low Quality Retinal Images Using A/V Classification
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N. Patton, T.M. Aslam, T. MacGillivray, I.J.Deary, B. Dhillon, R. H. Eikelboom K.Yogesa and I. J. Constable, “ Retinal image analysis: Concept application &Potential ,” Progr. Retinal Eye Res., vol. 25, p. 99-127, Jun, 2006.
T.T. Nguyen and T.Y. Wong, “ Retinal vascular changes and diabetic retinopathy,” Current Diabetes Rep., vol. 9, pp. 277-283, Aug. 2009.
K.Guan , C. Hudson, T.wong, M. Kisilevsky, R.K. Nrusimhadevara, W.C. Lam, M Mandelcorn, R.G.Devenyi and J.G. Flanagan “Retinal hemodynamics in early diabetic Mascular edema,” Diabetes, Vol. 55, pp 813-818, Mar. 2006.
A. S. Neubauer, M. Ludtke, C. Haritoglou, S. Priglinger, and A. Kampik, “Retinal vessel analysis reproducibility in assessing cardiovascular disease,”Optometry Vis. Sci., vol. 85, p. 247–254, Apr. 2008.
N. Cheung and T. Y. Wong, “The retinal arteriole to venule ratio: Informativ or deceptive?” Graefe’s Archive Clinical Experim. Ophthalmol.vol. 245, no. 8, pp. 1245–1246, 2007.
D. Relan, E. Trucco, L. Ballerini .et al., "Novel VAMPIRE algorithm for quantitative analysis of the retinal vasculature", Proc. IEEE Intern. Conf. on Biosignal an Biosystems, Rio de Janeiro, Brazil,Feb 2013.
C. Kondermann, D. kondermann, and M. yan “Blood vessel classification into arteries and veins in retinal images,” Proc. SPIE, ProgrBiomed.Opt. Imag., vol. 6512, no. 651247, Feb. 2007
M.E. Martinez-Perez, A.D. Hughes, A.V.Stanton, S.A. thom, N. Chapman, A.A.Bharath and K.H. Parker, “ Retinaln vascular tree morphology: a semi-automati quantification,” IEEE Trans. Biomed. Engg., vol. 49, no. 8, pp. 912-917, Aug.2002.
K.Rothaus, X. Jiang and P.Rhiem,“ Separation of the retinal vascular graph in arteries and veins based upon structural knowledge,” Image Vis. Comput., vol.27, pp. 864-875, Jun. 2009.
S. Vazquez, B. Cancela, N. Barreira, M. Penedo and M. Saez, “ On the automatic Computation of the arterio-venous ratio in retinal images: Using minimal paths for the artery/vein classification,” in Proc. Int. Conf. Digital Image Comput., Tech. Appl., 2010, pp. 599-604.
E.Grisan and A. Raggeri, “ A divide strategy for automatic classification of retinal vessels into arteries and veins,” in Proc. 25th Annu. Int. Conf.IEEE Eng. Med. Biol. Soc., Sep.2003, pp.890-893.
M. Niemeijer, B. Van Ginneken, and M. D. Abramoff, “ Automatic classification of Retinal Vessel into arteries and veins, “Proc. SPIE, Progr. Biomed. Opt. imag., vol. 7260,no. 72601F, Feb. 2009.
H. Li, W. Hsu, M. Lee and H. Wang, “ A piecewise Gaussian model for profiling and Differentiating retinal vessels,” in Proc. Int.Conf. Image process. vol. 1, Sep. 2003, pp. 1069-1072.
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