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Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohort.

, , , , , , and . Comput. Biol. Medicine, (2017)

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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)Automated Arteriole and Venule Recognition in Retinal Images using Ensemble Classification., , , , and . VISAPP (3), page 194-202. SciTePress, (2014)Fast and accurate imputation of summary statistics enhances evidence of functional enrichment., , , , , , , , , and . Bioinform., 30 (20): 2906-2914 (2014)Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohort., , , , , , and . Comput. Biol. Medicine, (2017)Automated quantification of retinal vessel morphometry in the UK biobank cohort., , , , , , , , , and 1 other author(s). IPTA, page 1-6. IEEE, (2017)Developing a large electronic primary care database (Doctors' Independent Network) for research., , , , , , , and . Int. J. Medical Informatics, 73 (5): 443-453 (2004)Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies., , , , , , , and . Comput. Biol. Medicine, (2016)Automated retinal vessel recognition and measurements on large datasets., , , , , , , , and . EMBC, page 5239-5242. IEEE, (2015)