Web: http://arxiv.org/abs/2206.03164

June 16, 2022, 1:13 a.m. | Dániel Unyi, Ferdinando Insalata, Petar Veličković, Bálint Gyires-Tóth

cs.CV updates on arXiv.org arxiv.org

The automated segmentation of cortical areas has been a long-standing
challenge in medical image analysis. The complex geometry of the cortex is
commonly represented as a polygon mesh, whose segmentation can be addressed by
graph-based learning methods. When cortical meshes are misaligned across
subjects, current methods produce significantly worse segmentation results,
limiting their ability to handle multi-domain data. In this paper, we
investigate the utility of E(n)-equivariant graph neural networks (EGNNs),
comparing their performance against plain graph neural networks (GNNs). …

arxiv cv mesh segmentation

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