Optimizing Deep Learning Algorithms for Segmentation of Acute Infarcts on Noncontrast CT of the Brain Using Simulated Lesions

Segmenting subtle hypoattenuated lesions on non–contrast material–enhanced CT scans produced 25% higher Dice scores with symmetry-aware deep learning architectures than conventional U-Nets.