Computation of retinal fundus parameters for stroke prediction

References

• Aliahmad B, Kumar DK, Hao H, Unnikrishnan P, Che Azemin MZ, Kawasaki R, Mitchell P. 2014. Zone specific fractal dimension of retinal images as predictor of stroke incidence. The Scientific World Journal.
   Google Scholar
• Baker ML, Wang JJ, Liew G, Hand PJ, De Silva DA, Lindley RI, Mitchell P, Wong M-C, Rochtchina E, Wong TY, et al. 2010. Differential associations of cortical and subcortical cerebral atrophy with retinal vascular signs in patients with acute stroke. Stroke. 41:2143–2150.
   PubMed Web of Science ®Google Scholar
• Baker ML, Wang JJ, Rogers S, Klein R, Kuller LH, Larsen EK, Wong TY. 2009. Early age-related macular degeneration, cognitive function, and dementia: the cardiovascular health study. Arch Ophthalmol. 127:667–673.
   PubMedGoogle Scholar
• Biller J, Love BB, Schneck MJ. 2008. Vascular diseases of the nervous system: ischemic cerebrovascular disease. In: Bradley WG, Daroff RB, Fenichel GM, Jankovic J, editors. Neurology in Clinical Practice. 5th ed. Philadelphia: Elsevier; p. 1165–1166.
   Google Scholar
• Breiman L. 2001. Random Forests. Machine Learning. 45:5–32. doi:10.1023/A:1010933404324.
   Google Scholar
• Cheung C, Chen C, Wong T-Y. 2015. Ocular fundus photography as a tool to study stroke and dementia. Semin Neurol. 35:481–490. doi:10.1055/s-0035-1563570.
   PubMed Web of Science ®Google Scholar
• Cheung CY, Tay WT, Mitchell P, Wang JJ, Hsu W, Lee ML, Lau QP, Zhu AL, Klein R, Saw SM, et al. 2011. Quantitative and qualitative retinal microvascular characteristics and blood pressure. J Hypertens. 29:1380–1391.
   PubMed Web of Science ®Google Scholar
• Cheung N, Liew G, Lindley RI, Liu EY, Wang JJ, Hand PM, Baker M, Mitchell P, Wong TY. 2010. Retinal fractals and acute lacunar stroke. Ann Neurol. 68(1):107–111. doi:10.1002/ana.22011.
   PubMed Web of Science ®Google Scholar
• Christopher JC. 1998a. A tutorial on support vector machines for pattern recognition. Data Min Knowl Springer. 2(2):121–167.
   Web of Science ®Google Scholar
• Christopher JC. 1998b. A tutorial on support vector machines for pattern recognition. Data Min Knowl Springer. 2(2):121–167.
   Web of Science ®Google Scholar
• Cortes C, Mohri M. 2004. AUC optimization vs. error rate minimization, In Advances in Neural Information Processing Systems 16 - Proceedings of the 2003 Conference, NIPS 2003 Neural information processing systems foundation, Canada.
   Google Scholar
• David WH, Stanley. 2000. Applied Logistic Regression. second ed. New York: A Wiley Inter Science Publication, John Wiley and Sons, Inc.
   Google Scholar
• De Silva DA, Manzano JJ, Liu EY, Woon F-P, Wong W-X, Chang H-M, Chen C, Lindley RI, Wang JJ, Mitchell P, et al. 2011. Retinal microvascular changes and subsequent vascular events after ischemic stroke. Neurology. 77:896–903.
   PubMed Web of Science ®Google Scholar
• Doubal FN, MacGillivray TJ, Patton N, Dhillon B, Dennis MS, Wardlaw JM. 2010. Fractal analysis of retinal vessels suggests that a distinct vasculopathy causes lacunar stroke. Neurology. 74:1102–1107.
   PubMed Web of Science ®Google Scholar
• Fawcett T. 2006. An introduction to ROC analysis. Pattern Recognit Lett. 27(8):861–874. doi:10.1016/j.patrec.2005.10.010.
   Web of Science ®Google Scholar
• Feigin VL, Norrving B, Mensah GA. 2017. Global burden of stroke. Circ Res. 120(3):439–448. doi:10.1161/circresaha.116.308413.
   PubMed Web of Science ®Google Scholar
• Friedman N, Geiger D, Goldszmidt M. 1997. Bayesian Network Classifiers, Mach Learn. 29(2/3):131–163. doi:10.1023/a:1007465528199.
   Web of Science ®Google Scholar
• Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten IH. 2009 Nov 16. The WEKA data mining software: an update. ACM SIGKDD Explor Newsl. 11(1):10–18.
   Google Scholar
• Haykin S. 1999. Neural networks – a comprehensive foundation. 2nd. New Jersey: Prentice Hall
   Google Scholar
• Hossin M, Sulaiman MN. 2015. A review on evaluation metrics for data classification evaluations. Int J Data Min Knowl Manage Process. 5(2):01–11. doi:10.5121/ijdkp.2015.5201.
   Google Scholar
• Jeena R S, Sukesh Kumar A. 2018 Artificial Neural Network based Classification of Healthy Retina and Retina of Stroke Patients, Lectures on Modelling and Simulation; A selection from AMSE # 2017-N°2; pp 109–118.
   Google Scholar
• Kawasaki R, Azemin MZ, Kumar DK, Tan AG, Liew G, Wong TY, Mitchell P, Wang JJ. 2011. Fractal dimension of the retinal vasculature and risk of stroke: a nested case-control study. Neurology. 76:1766–1767.
   PubMed Web of Science ®Google Scholar
• London A, Benhar I, Schwartz M. 2012. The retina as a window to the brain – from eye research to CNS disorders. Nature reviews. Neurology. 9. doi:10.1038/nrneurol.2012.227.
   PubMed Web of Science ®Google Scholar
• McGeechan K, Liew G, Macaskill P, Irwig L, Klein R, Klein BEK, Wang JJ, Mitchell P, Vingerling JR, de Jong PTVM, et al. 2009. Prediction of incident stroke events based on retinal vessel caliber: a systematic review and individual-participant meta-analysis. Am J Epidemiol. 170:1323–1332.
   PubMed Web of Science ®Google Scholar
• McGrory S, Cameron JR, Pellegrini E, Warren C, Doubal FN, Deary IJ, MacGillivray TJ. 2017. The application of retinal fundus camera imaging in dementia: a systematic review. Alzheimer’s & Dementia: Diagnosis, Assess & Dis Monit. 6:91–107. doi:10.1016/j.dadm.2016.11.001.
   PubMedGoogle Scholar
• Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, de Ferranti S, Després JP, Fullerton HJ, Howard VJ, et al. 2015. Heart disease and stroke statistics—2015 update: a report from the American Heart Association. Circulation. 131:e29–322.
   Google Scholar
• Ong Y-T, De Silva DA, Cheung CY, Chang H-M, Chen CP, Wong MC, Wong TY, Ikram MK. 2013. Microvascular structure and network in the retina of patients with Ischemic stroke. Stroke. 44:2121–2127.
   PubMed Web of Science ®Google Scholar
• Owen CG, Rudnicka AR, Nightingale CM, Mullen R, Barman SA, Sattar N, Cook DG, Whincup PH. 2011. Retinal arteriolar tortuosity and cardiovascular risk factors in a multi-ethnic population study of 10-year-old children; the child heart and health study in England (CHASE) Arterioscle. Thromb Vasc Biol. 31:1933–1938.
   PubMed Web of Science ®Google Scholar
• Perez-Rovira A, MacGillivray T, Trucco E, Chin KS, Zutis K, Lupascu C, Tegolo D, Giachetti A, Wilson PJ, Doney A, et al. VAMPIRE: vessel assessment and measurement platform for images of the REtina. In: engineering in medicine and biology society, EMBC, 2011 annual international conference of the IEEE 2011 Aug 30 (pp. 3391–3394). IEEE. https://vampire.computing.dundee.ac.uk/index.html
   Google Scholar
• Peter J. D., Fernandes S. L., Eduardo Thomaz C.Viriri S. (Eds.). (2019). Computer aided intervention and diagnostics in clinical and medical images. Lecture Notes in Computational Vision and Biomechanics. doi: 10.1007/978-3-030-04061-1
   Google Scholar
• Poplin R, Varadarajan AV, Blumer K, Liu Y, McConnell MV, Corrado GS, Webster DR. 2018. Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning. Nat Biomed Eng. 2(3):158–164. doi:10.1038/s41551-018-0195-0.
   PubMed Web of Science ®Google Scholar
• Ropper AH, Brown RH. 2005. Adams and victor’s principles of neurology. 8th ed. New York: The McGraw Hill Companies, Inc; p. 662.
   Google Scholar
• Stanton AV, Wasan B, Cerutti A, Ford S, Marsh R, Sever PP, Thom SA, Hughes AD. 1995. Vascular network changes in the retina with age and hypertension. J Hypertens. 13(12 pt 2):1724–1728.
   PubMed Web of Science ®Google Scholar
• Wald A. 1945. Sequential tests of statistical hypotheses. Ann Math Stat. 16(2):117–186. doi:10.1214/aoms/1177731118.
   Google Scholar
• Warlow C, Sudlow C, Dennis M, Wardlaw J, Sandercock P. 2003. Stroke. Lancet. 362:1211–1224.
   PubMed Web of Science ®Google Scholar
• Witt N, Chapmana N, Thom S, Stanton AV, Parker KH, Hughes AD. 2010. A novel measure to characterize optimality of diameter relationships at retinal vascular bifurcations. Artery Res. 4(3):75–80.
   PubMedGoogle Scholar
• Witt N, Wong TY, Hughes AD, Chaturvedi N, Klein BE, Evans R, McNamara M, Thom SA, Klein R. 2006. Abnormalities of retinal microvascular structure and risk of mortality from ischemic heart disease and stroke. Hypertension. 47:975–981.
   PubMed Web of Science ®Google Scholar
• Yanuzzi LA, Ober MD, Slakter JS, Spaide RF, Fisher YL, Flower RW, Rosen R. 2004. Ophthalmic fundus imaging: today and beyond. Am J Ophthalmol. 137:511–524.
   PubMed Web of Science ®Google Scholar
• Zamperini A, Giachetti A, Trucco E, Chin K. 2012. Effective features for artery-vein classification in digital fundus images. Proceedings - IEEE Symposium on Computer-Based Medical Systems. 1–6 doi:10.1109/CBMS.2012.6266336.
   Google Scholar