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Automatic Detection and Identification of Retinal Vessel Junctions in Colour Fundus Photography.

, , , , and . MIUA, volume 723 of Communications in Computer and Information Science, page 27-37. Springer, (2017)

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Dense Fully Convolutional Segmentation of the Optic Disc and Cup in Colour Fundus for Glaucoma Diagnosis., , , , , and . Symmetry, 10 (4): 87 (2018)FCNN: Fourier Convolutional Neural Networks., , , and . ECML/PKDD (1), volume 10534 of Lecture Notes in Computer Science, page 786-798. Springer, (2017)Fast Blur Detection and Parametric Deconvolution of Retinal Fundus Images., , , , , , and . FIFI/OMIA@MICCAI, volume 10554 of Lecture Notes in Computer Science, page 194-201. Springer, (2017)Convolutional Neural Networks for Diabetic Retinopathy., , , , and . MIUA, volume 90 of Procedia Computer Science, page 200-205. Elsevier, (2016)Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography., , , , , , , , and . J. Imaging, 4 (1): 4 (2018)Feature Visualisation of Classification of Diabetic Retinopathy Using a Convolutional Neural Network., , and . KDH@IJCAI, volume 2429 of CEUR Workshop Proceedings, page 23-29. CEUR-WS.org, (2019)Automatic Detection and Identification of Retinal Vessel Junctions in Colour Fundus Photography., , , , and . MIUA, volume 723 of Communications in Computer and Information Science, page 27-37. Springer, (2017)