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Rongchang Zhao et al.
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Yicheng Wu et al.
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He Zhao et al.
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Xiaomeng Li et al.
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WangMin Liao et al.
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Yaxin Shen et al.
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Junjie Hu et al.
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Song Guo et al.
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Sharath M. Shankaranarayana et al.
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Stanford Taylor et al.
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Sonia Phene et al.
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Hanruo Liu et al.
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Sara Moccia et al.
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Americo Oliveira et al.
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Jen Hong Tan et al.
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Huazhu Fu et al.
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Ling Dai et al.
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End-to-End Adversarial Retinal Image Synthesis
Pedro Costa et al.
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Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation
Huazhu Fu et al.
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U. Raghavendra et al.
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He Zhao et al.
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Juan Mo et al.
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Kai Hu et al.
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Mei Wang et al.
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Felix Grassmann et al.
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Zhixi Li et al.
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Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy
Jonathan Krause et al.
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James M. Brown et al.
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Ryan Poplin et al.
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Exudate detection for diabetic retinopathy with circular Hough transformation and convolutional neural networks
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DATA (2018)
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Jen Hong Tan et al.
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Gwenole Quellec et al.
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Rishab Gargeya et al.
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Mark J. J. P. van Grinsven et al.
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Pawel Liskowski et al.
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Varun Gulshan et al.
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Theo Vos et al.
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Mani Baskaran et al.
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A. Budai et al.
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Christopher G. Owen et al.
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P. Massin et al.
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J Staal et al.
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Optic nerve head segmentation
J Lowell et al.
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CP Wilkinson et al.
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TA Ciulla et al.
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A Hoover et al.
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