Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modeling

arXiv:2403.11790v1 Announce Type: new
Abstract: Shape reconstruction from imaging volumes is a recurring need in medical image analysis. Common workflows start with a segmentation step, followed by careful post-processing and,finally, ad hoc meshing algorithms. As this sequence can be timeconsuming, neural networks are trained to reconstruct shapes through template deformation. These networks deliver state-ofthe-art results without manual intervention, but, so far, they have primarily been evaluated on anatomical shapes with little topological variety between individuals. In contrast, other works favor …

abstract algorithms analysis arxiv cs.ai cs.cv finally image imaging medical modeling networks neural networks post-processing processing segmentation template through type workflows