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

Adam Hilbert, Bastiaan Veeling, Henk Marquering

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