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MOSAIC: Towards a Universal Latent Space for Computational Pathology Foundation Models

arXiv:2610.33059v1 Announce Type: new Abstract: 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…

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  1. 2026-10-27 04:00 · arXiv cs.CV
    MOSAIC: Towards a Universal Latent Space for Computational Pathology Foundation Models

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