MuPD is a pretrained generative foundation model using a diffusion transformer with cross-modal attention that synthesizes histopathology images from text or RNA data and outperforms task-specific models on generation, augmentation, and virtual staining tasks.
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ASTRA unifies heterogeneous pathology foundation-model representations for pan-cancer classification and weakly supervised tumor localization using only slide-level structured annotations.
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A Generative Foundation Model for Multimodal Histopathology
MuPD is a pretrained generative foundation model using a diffusion transformer with cross-modal attention that synthesizes histopathology images from text or RNA data and outperforms task-specific models on generation, augmentation, and virtual staining tasks.
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Unified Multi-Foundation-Model Slide Representation for Pan-Cancer Recognition and Text-Guided Tumor Localization
ASTRA unifies heterogeneous pathology foundation-model representations for pan-cancer classification and weakly supervised tumor localization using only slide-level structured annotations.