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Forecasting future Humphrey Visual Fields using deep learning.

Joanne C WenCecilia S LeePearse A KeaneSa XiaoAriel S RokemPhilip P ChenYue WuAaron Y Lee
Published in: PloS one (2019)
Using unfiltered real-world datasets, deep learning networks show the ability to not only learn spatio-temporal HVF changes but also to generate predictions for future HVFs up to 5.5 years, given only a single HVF.
Keyphrases
  • deep learning
  • current status
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • rna seq