GPU-Accelerated RSF Level Set Evolution for Large-Scale Microvascular Segmentation

arXiv:2404.02813v1 Announce Type: cross
Abstract: Microvascular networks are challenging to model because these structures are currently near the diffraction limit for most advanced three-dimensional imaging modalities, including confocal and light sheet microscopy. This makes semantic segmentation difficult, because individual components of these networks fluctuate within the confines of individual pixels. Level set methods are ideally suited to solve this problem by providing surface and topological constraints on the resulting model, however these active contour techniques are extremely time intensive and …

abstract advanced arxiv components cs.cv eess.iv evolution gpu imaging light microscopy near networks pixels scale segmentation semantic set three-dimensional type