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Instant automatic diagnosis of diabetic retinopathy., , , , , , and . CoRR, (2019)Dealing with Topological Information Within a Fully Convolutional Neural Network., , , , , , , , and . ACIVS, page 462-471. Springer, (2018)Exudate detection in color retinal images for mass screening of diabetic retinopathy., , , , , , , , , and 3 other author(s). Medical Image Analysis, 18 (7): 1026-1043 (2014)Dealing with Topological Information within a Fully Convolutional Neural Network., , , , , , , , and . CoRR, (2019)Studying disagreements among retinal experts through image analysis., , , , , , , and . EMBC, page 5959-5962. IEEE, (2012)A multiple-instance learning framework for diabetic retinopathy screening., , , , , , , and . Medical Image Analysis, 16 (6): 1228-1240 (2012)Image Processing: A Key to Success in Industrial Applications.. ISMM, volume 2 of Computational Imaging and Vision, page 341-352. Kluwer, (1994)Multimedia data mining for automatic diabetic retinopathy screening., , , , , , , and . EMBC, page 7144-7147. IEEE, (2013)A general framework for detecting diabetic retinopathy lesions in eye fundus images., , , , , , , and . CBMS, page 1-6. IEEE Computer Society, (2012)