Abstract:The ability to determine infarction thickness using magnetic resonance perfusion modulated imaging (PWI) should assist physicians to decide how vigorously to treat severe stroke victims. Algorithms for predicting tissue fate have indeed been created, although they are largely based on hand-crafted characteristics extracted from perfusion pictures, which seem to be susceptible to background subtraction approaches. Researchers show how deep convolution neural networks (CNNs) can be used to predict final stroke i… Show more
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