Data-efficient Convolutional Neural Networks for Treatment Decision Support in Acute Ischemic StrokeDownload PDF

11 Apr 2018 (modified: 13 Apr 2018)MIDL 2018 Abstract SubmissionReaders: Everyone
Abstract: A data-efficient Deep Learning method is presented to explore outcome prediction in Ischemic Stroke using full-sized 2D CT images. We show promising results on 3 different prediction tasks with equal or higher performance than conventional CNNs while reducing model-parameters and overfitting on limited data sets.
Keywords: ischemic stroke, cnn, structured receptive fields, steerable gaussians
Author Affiliation: Adam Hilbert, Bastiaan Veeling - University of Amsterdam, Henk Marquering - Department of Biomedical Engineering and Physics, Academical Medical Center, Amsterdam
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