most citedRandom Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT

12 citations · 12 across the 1 of their papers we have counts for

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1 paper

cs.CV2023★ 12 cited

Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT

Sophie Ostmeier, Brian Axelrod, Benjamin Pulli +6

Purpose: Multi-expert deep learning training methods to automatically quantify ischemic brain tissue on Non-Contrast CT Materials and Methods: The data set consisted of 260 Non-Con…