AI RESEARCH
MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations
arXiv CS.CV
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ArXi:2605.28261v1 Announce Type: new Instance-level quantification of kidney functional units is essential for morphometric analysis, yet most publicly available pathology datasets provide only semantic segmentation annotations, where adjacent structures of the same class are merged into single regions. This prevents reliable instance-level analysis and limits downstream quantitative studies.