AI RESEARCH
Self-supervised Pretraining of Cell Segmentation Models
arXiv CS.CV
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ArXi:2604.10609v1 Announce Type: new Instance segmentation enables the analysis of spatial and temporal properties of cells in microscopy images by identifying the pixels belonging to each cell. However, progress is constrained by the scarcity of high-quality labeled microscopy datasets. Many recent approaches address this challenge by initializing models with segmentation-pretrained weights from large-scale natural-image models such as Segment Anything Model