Circle of Willis Segmentation
Cross-source consensus on Circle of Willis Segmentation from 1 sources and 4 claims.
1 sources · 4 claims
Uses
Risks & contraindications
Where it comes from
Highlighted claims
- The annotation scheme used 20 Circle of Willis arteries. — AG-TAL: Anatomically-Guided Topology-Aware Loss for Multiclass Segmentation of the Circle of Willis Using Large-Scale Multi-Center Datasets
- Accurate artery-specific Circle of Willis labeling is important for quantifying brain vascular health but is labor-intensive and subjective when done manually. — AG-TAL: Anatomically-Guided Topology-Aware Loss for Multiclass Segmentation of the Circle of Willis Using Large-Scale Multi-Center Datasets
- Multiclass Circle of Willis segmentation is difficult because vessels vary in size, visibility, and topology. — AG-TAL: Anatomically-Guided Topology-Aware Loss for Multiclass Segmentation of the Circle of Willis Using Large-Scale Multi-Center Datasets
- Common failures in multiclass Circle of Willis segmentation include small-vessel discontinuities and confusion between adjacent arteries. — AG-TAL: Anatomically-Guided Topology-Aware Loss for Multiclass Segmentation of the Circle of Willis Using Large-Scale Multi-Center Datasets