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.