Hierarchical graph networks for breast cancer subtype classification
A hierarchical Graph Neural Network (GNN) framework for ROI-level breast cancer subtype classification that represents nuclei and tissue regions as linked graph structures is presented and shows that sequential hierarchical fusion is the most effective configuration in this setting.
A. M. Rinaldi, Cristiano Russo, Cristian Tommasino
· Data mining and knowledge di... · 0 citations