Mild intracranial stenosis detection performance

1. Automated 3d surface-based detection algorithm improves mild intracranial stenosis detection performance in silico (F1-score 89.98%, sensitivity 89.10%, specificity 90.60%).

   In silicoalgorithm evaluation against expert manual evaluationcerebral arteries41% mensn = 312

   Automatic Detection of Mild Intracranial Stenosis using Time-of-Flight Magnetic Resonance Angiography · AJNR. American journal of neuroradiology · 18 Aug 2026

Automated 3d surface-based detection algorithm →