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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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Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies., , , , , , , and . Comput. Biol. Medicine, (2016)A Model Based Approach for Vessel Caliber Measurement in Retinal Images., , , , , , and . SITIS, page 129-136. IEEE Computer Society, (2012)Automated retinal vessel recognition and measurements on large datasets., , , , , , , , and . EMBC, page 5239-5242. IEEE, (2015)An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation., , , , , , and . IEEE Trans. Biomed. Eng., 59 (9): 2538-2548 (2012)Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approach., , , , , , and . Comput. Medical Imaging Graph., 37 (1): 48-60 (2013)Ensemble Classification System Applied for Retinal Vessel Segmentation on Child Images Containing Various Vessel Profiles., , , , , , and . ICIAR (2), volume 7325 of Lecture Notes in Computer Science, page 380-389. Springer, (2012)Blood vessel segmentation methodologies in retinal images - A survey., , , , , , and . Comput. Methods Programs Biomed., 108 (1): 407-433 (2012)Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohort., , , , , , and . Comput. Biol. Medicine, (2017)Microaneurysm detection in retinal images using an ensemble classifier., , , , , and . IPTA, page 1-6. IEEE, (2016)Automated quantification of retinal vessel morphometry in the UK biobank cohort., , , , , , , , , and 1 other author(s). IPTA, page 1-6. IEEE, (2017)