Anatomy-Guided 3D Graph Networks for Couinaud Segmentation in Tumor Affected Livers
Lei You, Haotian Dang, Hongyu Wang, Eduardo da Matta, Xiaobo zhou
This paper introduces a two-stage framework combining 3D UNet and 3D GCN for accurate Couinaud segmentation in tumor-affected livers, achieving a mean Dice score of 0.828 on blind testing.
bioRxiv · Jun 29, 2026 · PreprintBioinformatics