A new differentiable definition of simple points for continuous images allows topology-preserving variational models to be integrated into deep learning segmentation networks.
Simple points, topological numbers and geodesic neigh- borhoods in cubic grids
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Continuous-tone Simple Points: An $\ell_0$-Norm of Cyclic Gradient for Topology-Preserving Data-Driven Image Segmentation
A new differentiable definition of simple points for continuous images allows topology-preserving variational models to be integrated into deep learning segmentation networks.