Deep learning-based cerebral aneurysm segmentation and morphological analysis with three-dimensional rotational angiography

The morphological assessment of cerebral aneurysms based on cerebral angiography is an essential step when planning strategy and device selection in endovascular treatment, but manual evaluation by human raters only has moderate interrater/intrarater reliability.