Defining Functional Liver Segments Via Vessel Structure: A Novel Graph Neural Network (GNN) Framework for Anatomically Consistent Couinaud Segmentation on CT
To propose a Graph Neural Network (GNN) framework that explicitly models liver vessel topology to detect anatomical landmarks and reconstruct anatomically consistent segments.
Proffered Program · Diagnostic and Interventional Radiology Physics