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Deep learning for predicting refractive error from retinal fundus images.
Avinash V. Varadarajan
Ryan Poplin
Katy Blumer
Christof Angermüller
Joe Ledsam
Reena Chopra
Pearse A. Keane
Greg Corrado
Lily Peng
Dale R. Webster
Published in:
CoRR (2017)
Keyphrases
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deep learning
retinal fundus images
unsupervised learning
unsupervised feature learning
machine learning
blood vessels
optic disc
weakly supervised
deep architectures
retinal images
higher order
natural images
single image
co occurrence
mental models
pairwise
object recognition
computer vision