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MOSAIC: Towards a Universal Latent Space for Computational Pathology Foundation Models
Pathology foundation models (PFMs) differ substantially in architecture, pretraining objective, training data and representation dimensionality, yet it remains unclear whether they learn fundamentally different feature spaces or alternative coordinate systems of a shared underlying representation. W
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