Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation

arXiv:2403.15314v1 Announce Type: cross
Abstract: Personalized 3D vascular models can aid in a range of diagnostic, prognostic, and treatment-planning tasks relevant to cardiovascular disease management. Deep learning provides a means to automatically obtain such models. Ideally, a user should have control over the exact region of interest (ROI) to be included in a vascular model, and the model should be watertight and highly accurate. To this end, we propose a combination of a global controller leveraging voxel mask segmentations to …

abstract arxiv control cs.cv deep learning diagnostic disease eess.iv global management personalized planning roi scale segmentation tasks treatment type