Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT
Editor’s Choice This study evaluates a convolutional neural network optimized for the detection and quantification of intraparenchymal, epidural/subdural, and subarachnoid hemorrhages on noncontrast CT with a 10,159-examination training cohort (512,598 images; 901/8.1% hemorrhages) and an 862-examination test cohort (23,668 images;