AI RESEARCH
LEMON: a foundation model for nuclear morphology in Computational Pathology
arXiv CS.CV
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ArXi:2603.25802v1 Announce Type: new Computational pathology relies on effective representation learning to cancer research and precision medicine. Although self-supervised learning has driven major progress at the patch and whole-slide image levels, representation learning at the single-cell level remains comparatively underexplored, despite its importance for characterizing cell types and cellular phenotypes. We