Skip to content
Provenance Brief
Research

Academic or research source. Check the methodology, sample size, and whether it's been replicated.

Mask-HybridGNet: Graph-based segmentation with emergent anatomical correspondence from pixel-level supervision

Graph-based medical image segmentation represents anatomical structures using boundary graphs, providing fixed-topology landmarks and inherent population-level correspondences.

Read Original

Mask-HybridGNet: Graph-based segmentation with emergent anatomical correspondence from pixel-level supervision

TLDR

Graph-based medical image segmentation represents anatomical structures using boundary graphs, providing fixed-topology landmarks and inherent population-level correspondences.

Open
O open S save B back M mode