The descibed CNN performed exceptionally well at quantifying ICH, LV Volumes, and MLS with satisfying agreement on trend analysis in an independent validation imaging set.
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Estimation of Ventricular and Intracranial Hemorrhage Volumes and Midline Shift on an External Validation Data Set using a Convolutional Neural Network Algorithm
The descibed CNN performed exceptionally well at quantifying ICH, LV Volumes, and MLS with satisfying agreement on trend analysis in an independent validation imaging set.
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