Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours Maps

arXiv:2308.04526v2 Announce Type: replace
Abstract: In this work, we describe a method for large-scale 3D cell-tracking through a segmentation selection approach. The proposed method is effective at tracking cells across large microscopy datasets on two fronts: (i) It can solve problems containing millions of segmentation instances in terabyte-scale 3D+t datasets; (ii) It achieves competitive results with or without deep learning, which requires 3D annotated data, that is scarce in the fluorescence microscopy field. The proposed method computes cell tracks and …

arxiv cs.cv maps scale tracking type