Learning Wall Segmentation in 3D Vessel Trees using Sparse Annotations

Hinrich Rahlfs, Markus Hüllebrand, Sebastian Schmitter +3

We propose a novel approach that uses sparse annotations from clinical studies to train a 3D segmentation of the carotid artery wall. We use a centerline annotation to sample perpe…