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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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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)Generative Data Augmentation for Diabetic Retinopathy Classification., , , and . ICTAI, page 1096-1103. IEEE, (2020)Artificial Intelligence Using Deep Learning in Classifying Side of the Eyes and Width of Field for Retinal Fundus Photographs., , , , , , , , , and 7 other author(s). ACCV Workshops, volume 11367 of Lecture Notes in Computer Science, page 309-315. Springer, (2018)Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation., , , , and . AAAI, page 13267-13272. AAAI Press, (2020)Enhanced Detection of Referable Diabetic Retinopathy via DCNNs and Transfer Learning., , , , , , , , , and 3 other author(s). ACCV Workshops, volume 11367 of Lecture Notes in Computer Science, page 282-288. Springer, (2018)Intermediate Goals in Deep Learning for Retinal Image Analysis., , and . ACCV Workshops, volume 11367 of Lecture Notes in Computer Science, page 276-281. Springer, (2018)Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study., , , , , , and . AAAI, page 9510-9515. AAAI Press, (2019)A Differential-Based Approach for Vessel Type Classification in Retinal Images., , , and . ICIP, page 2790-2794. IEEE, (2018)Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy., , , , , , , , , and 9 other author(s). npj Digit. Medicine, (2020)Integrated Optic Disc and Cup Segmentation with Deep Learning., , , and . ICTAI, page 162-169. IEEE Computer Society, (2015)