Advanced Analysis of Anatomical Structures using Hull Based Neuro-Retinal Optic Cup Ellipse Optimization in Glaucoma Diagnosis
Abstract
Keywords
Full Text:
PDFReferences
Sopharak, N.Mathew, Tom, Nwe and Yin Aye “machine learning approach to automatic exudate detection in retinal images from diabetic patients”, IEEE trsns. Med imag. Vol.19 Mar 2010.
M.Foracchia, E.Grisan, and A.Ruggeri,”Detection of the optic disc in retinal imges by means of a geometrical model of vessel structure” IEEE trans.Med Imag. Vol.23.,no.10., pp 1189-1195, Oct 2004.
L.Gagnon, M.lalonde, M.Beaulieu and M.C.Boucher, “Procedure to detect anatomical structures in optical fundus images”, Med imag. 2001 pp. 1218-1225.
E.Grisan, M.Foracchia and A.Ruggeri,”A novel method for automatic grading of retinal vessel tortuosity” Med imag Mar 2008 Vol.27.
N.mathew, new, Sopharak, tom, and yin aye (2010)‟machine learning approach to automatic exudate detection in retinal images from diabetic patients‟, IEEE trsns. Med imag. Vol.19 Mar 2000
M.Foracchia, E.Grisan, and A.Ruggeri,”Detection of the optic disc in retinal imges by means of a geometrical model of vessel structure” IEEE trans.Med Imag. Vol.23.,no.10., pp 1189-1195, Oct 2004.
L.Gagnon, M.lalonde, M.Beaulieu and M.C.Boucher, “Procedure to detect anatomical structures in optical fundus images”, Med imag. 2001 pp. 1218-1225.
E.Grisan, M.Foracchia and A.Ruggeri,”A novel method for automatic grading of retinal vessel tortuosity” Med imag Mar 2008 Vol.27.
A.Hoover an M.Goldbaum,”Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels” IEEE trans. Med. Imag, vol.22., no.8., pp 951-958,Aug 2003.
B.S.Y.Lam and H.Yan,” A novel vessel segmentation algorithm for pathological retinal images based on divergence of vector fields”, IEEE trans Med imag. Vol.27 Feb 2008.
H.Li and O.Chutatape.”Automated feature extraction in color retinal images by a model based approach” IEEE trans. Biomed. Eng. Vol.51., no.2., pp 246-254. Feb 2004.
M.Niemeijer,M.D.Abramoff,B.V.Ginneken,”Segmentation of the optic disc, macula and vascular Arch in fundus photographs”, IEEE trans. Med. Imag. Vol.26. no.1. pp 116-117 Jan 2007.
Shogbon, A.O. and Levy, S.B. (2010) Intensive glucose control in the management of diabetes mellitus and inpa-tient hyperglycemia. American Journal of Health-System Pharmacy, 67, 798-805.
American Diabetes Association (2010) Standards of Medical Care in Diabetes. Diabetes Care, 33, S11-S61.
Meyfroidt, G., Keenan, D.M., Wang, X., Wouters, P.J., Veldhuis, J.D. and Van den Berghe, G. (2010) Dynamic characteristics of blood glucose time series during the course of critical illness: Effects of intensive insulin therapy and relative association with mortality. Critical Care Medicine, 38, 1021-1029.
American Diabetes Association (2010) Standards of Medical Care in Diabetes. Diabetes Care, 33, S11-S61.
Moghissi, E.S., Korytkowski, M.T., DiNardo, M., et al. (2009) American Association of clinical Endocrinologists (AACE) and the American Diabetes Association (ADA) Consensus Statement on inpatient Glycemic Control. AACE/ADA Consensus Statement. Endocrine Practice, 15, 1-11.
Harper, J. (2007) BAPEN Symposium 6 on „Inflamma-tion technology: Putting theory into practice‟ Glucose control in the intensive care unit: how it is done. Pro-ceedings of the Nutrition Society, 66, 362-366.
Pielmeier, U., Andreassen, S., Juliussen, B., Chase, J.G., Nielsen, B.S. and Haure, P. (2010) The Glucosafe system for tight glycaemic control in critical care: A pilot evalua-tion study. Journal of Critical Care, 25, 97-104.
Diabetic Retinopathy Study Research Group. DRS Report Number 7: A modification of the Airlie House classification of diabeticretinopathy.Invest.Ophthalmol.Vis.Sci.1981;21:210-226
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.