Uncertainty-aware automated labeling of intracranial arteries using deep learning
Date Issued
2026-03
Author(s) USM
DOI
10.1186/s12880-026-02276-5
Abstract
Background Accurate anatomical labeling of intracranial arteries is critical for cerebrovascular diagnosis and hemodynamic analysis, but remains time-consuming and prone to inter-operator variability. While deep learning provides an automated solution, it
