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arXiv Computer Vision By Rohit Kumar Salla, Neelesh Gupta, Xingjian Li, Min Xu

TopoFuse: Topology-Aware Tri-Planar Fusion for 3D Cryo-Electron Tomography Segmentation

Read the original on arXiv Computer Vision →

TopoFuse introduces a topology-aware tri-planar fusion method for 3D cryo-electron tomography segmentation. It replaces traditional loss penalties with a differentiable projection operator that identifies and sparsely edits critical voxels to enforce specified topological constraints. The approach achieves a 54% reduction in Betti number error, a 4.6-point Dice improvement, and edits only 3.1% of voxels across three benchmarks.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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