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Blood vessel segmentation methodologies in retinal images - A survey.

, , , , , , and . Computer Methods and Programs in Biomedicine, 108 (1): 407-433 (2012)

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Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies., , , , , , , and . Comp. in Bio. and Med., (2016)Blood vessel segmentation methodologies in retinal images - A survey., , , , , , and . Computer Methods and Programs in Biomedicine, 108 (1): 407-433 (2012)Microaneurysm detection in retinal images using an ensemble classifier., , , , , and . IPTA, page 1-6. IEEE, (2016)Autonomous control laws for mobile robotic surveillance swarms., , , and . CISDA, page 1-6. IEEE, (2009)Maximum likelihood estimation of vessel parameters from scale space analysis., , , , , , and . Image Vision Comput., 28 (1): 55-63 (2010)Genetic algorithm based feature selection combined with dual classification for the automated detection of proliferative diabetic retinopathy., , , , , , , and . Comp. Med. Imag. and Graph., (2015)Automated retinal vessel recognition and measurements on large datasets., , , , , , , , and . EMBC, page 5239-5242. IEEE, (2015)Automated Arteriole and Venule Recognition in Retinal Images using Ensemble Classification., , , , and . VISAPP (3), page 194-202. SciTePress, (2014)Delineation of blood vessels in pediatric retinal images using decision trees-based ensemble classification., , , and . Int. J. Comput. Assist. Radiol. Surg., 9 (5): 795-811 (2014)QUARTZ: Quantitative Analysis of Retinal Vessel Topology and size - An automated system for quantification of retinal vessels morphology., , , , , and . Expert Syst. Appl., 42 (20): 7221-7234 (2015)