Corpus ID: 119189015

Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning

@article{Babenko2019PredictingPO,
  title={Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning},
  author={Boris Babenko and S. Balasubramanian and K. Blumer and G. Corrado and Lily Peng and Dale R. Webster and Naama Hammel and Avinash V. Varadarajan},
  journal={ArXiv},
  year={2019},
  volume={abs/1904.05478}
}
Background: Patients with neovascular age-related macular degeneration (AMD) can avoid vision loss via certain therapy. [...] Key Method Design: Development and validation of a DL algorithm. Methods: We trained a DL algorithm to predict 1-year progression to nvAMD, and used 10-fold cross-validation to evaluate this approach on two groups of eyes in the Age-Related Eye Disease Study (AREDS): none/early/intermediate AMD, and intermediate AMD (iAMD) only. We compared the DL algorithm to the manually graded 4…Expand
4 Citations

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