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Transformed Representations for Convolutional Neural Networks in Diabetic Retinopathy Screening.

, , , and . AAAI Workshop: Modern Artificial Intelligence for Health Analytics, volume WS-14-08 of AAAI Workshops, AAAI, (2014)

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An Automated Method for Retinal Image Matching using Vascular Features., , , and . BIOSIGNALS, page 342-347. SciTePress, (2011)Deep learning system to predict the 5-year risk of high myopia using fundus imaging in children., , , , , , , , , and 3 other author(s). npj Digit. Medicine, (2023)Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study., , , , , , , , , and 7 other author(s). npj Digit. Medicine, (2019)Vessel Segmentation from Color Retinal Images with Varying Contrast and Central Reflex Properties., , , , and . DICTA, page 184-189. IEEE Computer Society, (2010)Sector-based optic cup segmentation with intensity and blood vessel priors., , , , , , , and . EMBC, page 1454-1457. IEEE, (2012)Sliding Window and Regression Based Cup Detection in Digital Fundus Images for Glaucoma Diagnosis., , , , , , , and . MICCAI (3), volume 6893 of Lecture Notes in Computer Science, page 1-8. Springer, (2011)Efficient Optic Cup Detection from Intra-image Learning with Retinal Structure Priors., , , , , , and . MICCAI (1), volume 7510 of Lecture Notes in Computer Science, page 58-65. Springer, (2012)Efficient optic cup localization based on superpixel classification for glaucoma diagnosis in digital fundus images., , , , , , , , and . ICPR, page 49-52. IEEE Computer Society, (2012)Automatic detection of retinal vascular landmark features for colour fundus image matching and patient longitudinal study., , , , , and . ICIP, page 616-620. IEEE, (2013)THALIA - An automatic hierarchical analysis system to detect drusen lesion images for amd assessment., , , , , , , and . ISBI, page 884-887. IEEE, (2013)