AI RESEARCH
Boundary-Aware Instance Segmentation in Microscopy Imaging
arXiv CS.CV
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ArXi:2603.21206v1 Announce Type: new Accurate delineation of individual cells in microscopy videos is essential for studying cellular dynamics, yet separating touching or overlapping instances remains a persistent challenge. Although foundation-model for segmentation such as SAM have broadened the accessibility of image segmentation, they still struggle to separate nearby cell instances in dense microscopy scenes without extensive prompting.