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Convolutional Neural Networks for Diabetic Retinopathy.

, , , , and . MIUA, volume 90 of Procedia Computer Science, page 200-205. Elsevier, (2016)

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Development and Validation of a Novel Prognostic Model for Predicting AMD Progression Using Longitudinal Fundus Images., , and . CoRR, (2020)Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy., , , and . ICDM, volume 6171 of Lecture Notes in Computer Science, page 418-431. Springer, (2010)Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images., , , , and . IEEE Trans. Medical Imaging, 34 (9): 1797-1807 (2015)DAISY Descriptors Combined with Deep Learning to Diagnose Retinal Disease from High Resolution 2D OCT Images., , and . MIUA, volume 1065 of Communications in Computer and Information Science, page 489-496. Springer, (2019)Spatial Modelling of Retinal Thickness in Images from Patients with Diabetic Macular Oedema., , , , , , and . MIUA, volume 1065 of Communications in Computer and Information Science, page 114-126. Springer, (2019)Enhancement of blood vessels in digital fundus photographs via the application of multiscale line operators., , , , , , and . J. Frankl. Inst., 345 (7): 748-765 (2008)SOMA: A Proposed Framework for Trend Mining in Large UK Diabetic Retinopathy Temporal Databases., , , and . SGAI Conf., page 285-290. Springer, (2010)Convolutional Neural Networks for Diabetic Retinopathy., , , , and . MIUA, volume 90 of Procedia Computer Science, page 200-205. Elsevier, (2016)Dictionary Learning Informed Deep Neural Network with Application to OCT Images., , , and . OMIA@MICCAI, volume 11855 of Lecture Notes in Computer Science, page 1-8. Springer, (2019)A new constrained total variational deblurring model and its fast algorithm., , and . Numer. Algorithms, 69 (2): 415-441 (2015)