Diabetic retinopathy assessment: Towards an automated system
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Aini Hussain | Wan Mimi Diyana Wan Zaki | Mohd Asyraf Zulkifley | N. Badariah A. Mustafa | W. Haslina W. A. Halim | Lim Sin Ting | M. A. Zulkifley | A. Hussain | W. Zaki | W. H. W. Halim | N. Mustafa | L. Ting | N. B. A. Mustafa | W. Haslina W.A. Halim | Lim Sin Ting
[1] M. Goldbaum,et al. Detection of blood vessels in retinal images using two-dimensional matched filters. , 1989, IEEE transactions on medical imaging.
[2] R. Klein,et al. Are seven standard photographic fields necessary for classification of diabetic retinopathy? , 1989, Investigative ophthalmology & visual science.
[3] Joseph J. Capowski,et al. A numeric index based on spatial frequency for the tortuosity of retinal vessels and its application to plus disease in retinopathy of prematurity. , 1995 .
[4] Michael H. Goldbaum,et al. Measurement and classification of retinal vascular tortuosity , 1999, Int. J. Medical Informatics.
[5] 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.
[6] G. Dougherty,et al. A quantitative index for the measurement of the tortuosity of blood vessels. , 2000, Medical engineering & physics.
[7] John Flynn,et al. Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis , 2002, Medical Image Anal..
[8] Michael H. Goldbaum,et al. Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels , 2003, IEEE Transactions on Medical Imaging.
[9] 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..
[10] B. Thomas,et al. Automated identification of diabetic retinal exudates in digital colour images , 2003, The British journal of ophthalmology.
[11] K. Parker,et al. Semiautomated computer analysis of vessel growth in preterm infants without and with ROP , 2003, The British journal of ophthalmology.
[12] S. Pizer,et al. Measuring tortuosity of the intracerebral vasculature from MRA images , 2003, IEEE Transactions on Medical Imaging.
[13] Dr. W. Lotmar,et al. Measurement of vessel tortuosity on fundus photographs , 1979, Albrecht von Graefes Archiv für klinische und experimentelle Ophthalmologie.
[14] Bram van Ginneken,et al. Comparative study of retinal vessel segmentation methods on a new publicly available database , 2004, SPIE Medical Imaging.
[15] Ronald Klein,et al. The relation of retinal vessel caliber to the incidence and progression of diabetic retinopathy: XIX: the Wisconsin Epidemiologic Study of Diabetic Retinopathy. , 2004, Archives of ophthalmology.
[16] R. Klein,et al. Abnormalities of Retinal Microvascular Structure and Risk of Mortality From Ischemic Heart Disease and Stroke , 2006, Hypertension.
[17] 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.
[18] Kamesh Namuduri,et al. A Decision Support Framework for Automated Screening of Diabetic Retinopathy , 2006, Int. J. Biomed. Imaging.
[19] Michael F Chiang,et al. Plus disease in retinopathy of prematurity: pilot study of computer-based and expert diagnosis. , 2007, Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus.
[20] U. Rajendra Acharya,et al. Automated Identification of Diabetic Retinopathy Stages Using Digital Fundus Images , 2008, Journal of Medical Systems.
[21] J. Olson,et al. The efficacy of automated “disease/no disease” grading for diabetic retinopathy in a systematic screening programme , 2007, British Journal of Ophthalmology.
[22] Ronald Klein,et al. Retinal vessel caliber and microvascular and macrovascular disease in type 2 diabetes: XXI: the Wisconsin Epidemiologic Study of Diabetic Retinopathy. , 2007, Ophthalmology.
[23] P F Sharp,et al. Cost-effectiveness of implementing automated grading within the national screening programme for diabetic retinopathy in Scotland , 2007, British Journal of Ophthalmology.
[24] Geoff Dougherty,et al. Robust measures of three-dimensional vascular tortuosity based on the minimum curvature of approximating polynomial spline fits to the vessel mid-line. , 2007, Medical engineering & physics.
[25] S. T. Clay,et al. Computerized analysis of retinal vessel width and tortuosity in premature infants. , 2008, Investigative ophthalmology & visual science.
[26] Enrico Grisan,et al. A Novel Method for the Automatic Grading of Retinal Vessel Tortuosity , 2008, IEEE Transactions on Medical Imaging.
[27] J. Shaw,et al. Retinal Arteriolar Caliber Predicts Incident Retinopathy , 2008, Diabetes Care.
[28] Tin Aung,et al. Prevalence and risk factors for diabetic retinopathy: the Singapore Malay Eye Study. , 2008, Ophthalmology.
[29] Tien Yin Wong,et al. Retinal Arteriolar Dilation Predicts Retinopathy in Adolescents With Type 1 Diabetes , 2008, Diabetes Care.
[30] Gwénolé Quellec,et al. Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs , 2008, IEEE Transactions on Medical Imaging.
[31] H. Al‐Mezaine,et al. Pathophysiology and management of diabetic retinopathy , 2009 .
[32] C. M. Lim,et al. Computer-based detection of diabetes retinopathy stages using digital fundus images , 2009, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.
[33] Roberto Hornero,et al. Retinal image analysis based on mixture models to detect hard exudates , 2009, Medical Image Anal..
[34] Bram van Ginneken,et al. Information Fusion for Diabetic Retinopathy CAD in Digital Color Fundus Photographs , 2009, IEEE Transactions on Medical Imaging.
[35] Chang Yao,et al. Automated retinal blood vessels segmentation based on simplified PCNN and fast 2D-Otsu algorithm , 2009 .
[36] Geoff Dougherty,et al. Measurement of retinal vascular tortuosity and its application to retinal pathologies , 2009, Medical & Biological Engineering & Computing.
[37] Ahmed Wasif Reza,et al. Diagnosis of Diabetic Retinopathy: Automatic Extraction of Optic Disc and Exudates from Retinal Images using Marker-controlled Watershed Transformation , 2009, Journal of Medical Systems.
[38] S. Oliver,et al. Diabetic retinopathy: An update on treatment. , 2010, The American journal of medicine.
[39] D. Worsley,et al. Diabetic retinopathy and public health , 2010 .
[40] Meindert Niemeijer,et al. Automated detection of diabetic retinopathy: barriers to translation into clinical practice , 2010, Expert review of medical devices.
[41] Zheen Zhao,et al. Computer-assisted measurement of retinal vascular width and tortuosity in retinopathy of prematurity. , 2010, Archives of ophthalmology.
[42] Clare M. Wilson,et al. Plus Disease: Why is it Important in Retinopathy of Prematurity? , 2010, Middle East African journal of ophthalmology.
[43] Gwénolé Quellec,et al. Automated early detection of diabetic retinopathy. , 2010, Ophthalmology.
[44] Wynne Hsu,et al. Alterations in Retinal Microvascular Geometry in Young Type 1 Diabetes , 2010, Diabetes Care.
[45] Lili Xu,et al. A novel method for blood vessel detection from retinal images , 2010, Biomedical engineering online.
[46] P Kenny,et al. Improved characterisation of aortic tortuosity. , 2011, Medical engineering & physics.
[47] Chanjira Sinthanayothin,et al. Automatic retinal vessel tortuosity measurement using curvature of improved chain code , 2011, International Conference on Electrical, Control and Computer Engineering 2011 (InECCE).
[48] J. J. Wang,et al. Retinal vascular tortuosity in persons with diabetes and diabetic retinopathy , 2011, Diabetologia.
[49] Lila Iznita Izhar,et al. Analysis of retinal fundus images for grading of diabetic retinopathy severity , 2011, Medical & Biological Engineering & Computing.
[50] R. Klein,et al. Retinal venular diameter as an early indicator of progression to proliferative diabetic retinopathy with and without high-risk characteristics in African Americans with type 1 diabetes mellitus. , 2011, Archives of ophthalmology.
[51] Tien Yin Wong,et al. Retinal arteriolar tortuosity is associated with retinopathy and early kidney dysfunction in type 1 diabetes. , 2012, American journal of ophthalmology.
[52] Sherry E. Scott,et al. A new approach to measuring tortuosity , 2012, Medical Imaging.
[53] J. Sivaswamy,et al. A novel approach for quantification of retinal vessel tortuosity using quadratic polynomial decomposition , 2013, 2013 Indian Conference on Medical Informatics and Telemedicine (ICMIT).
[54] Bunyarit Uyyanonvara,et al. Quantification and classification of retinal vessel tortuosity , 2013 .
[55] Hamid Reza Pourreza,et al. Simple and efficient method to measure vessel tortuosity , 2013, ICCKE 2013.
[56] Tien Yin Wong,et al. Retinal Vascular Caliber as a Biomarker for Diabetes Microvascular Complications , 2013, Diabetes Care.
[57] M. Patil. An Approach for the Detection of Vascular Abnormalities in Diabetic Retinopathy , 2013 .
[58] Nidhal Khdhair El Abbadi,et al. Automatic retinal vessel Tortuosity Measurement , 2013, J. Comput. Sci..
[59] Ramesh R. Manza,et al. Automatic Detection of Retinal Venous Beading and Tortuosity by using Image Processing Techniques , 2014 .
[60] Miguel Castelo-Branco,et al. Vessel centerline detection in retinal images based on a corner detector and dynamic thresholding , 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).
[61] S. Edward Rajan,et al. Retinal vessel segmentation employing ANN technique by Gabor and moment invariants-based features , 2014, Appl. Soft Comput..
[62] Rangaraj M. Rangayyan,et al. Assessment of vessel tortuosity in retinal images of preterm infants , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[63] F. Cassot,et al. Tortuosity and other vessel attributes for arterioles and venules of the human cerebral cortex. , 2014, Microvascular research.
[64] Aini Hussain,et al. A review on the diabetic retinopathy assessment based on retinal vascular tortuosity , 2015, 2015 IEEE 11th International Colloquium on Signal Processing & Its Applications (CSPA).