Prediction of age-related macular degeneration disease using a sequential deep learning approach on longitudinal SD-OCT imaging biomarkers
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DOI: 10.1038/s41598-020-72359-y
Abstract: We propose a hybrid sequential prediction model called “Deep Sequence”, integrating radiomics-engineered imaging features, demographic, and visual factors, with a recursive neural network (RNN) model in the same platform to predict the risk of exudation… read more here.
Keywords: exudation; dataset; within months; performance ... See more keywords