Automated detection of brain abnormalities in neonatal hypoxia ischemic injury from MR images
Automated detection of brain injury in the neonate is critically needed but lacking. Three approaches were tested: symmetry, watershed and hierarchical splitting. SIRG performed the best for lesion volume. HRS was the most robust (smallest standard deviations). MWS lagged in performance on all measures.
hypoxia ischemic injury symmetry watershed hierarchical region splitting arterial ischemic stroke