A generalizable pathology foundation model using a unified knowledge distillation pretraining framework

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DOI:10.1038/s41551-025-01488-4
文献类型：期刊论文
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文献链接：https://doi.org/10.1038/s41551-025-01488-4

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Abstract：The generalization ability of foundation models in the field of computational pathology (CPath) is crucial for their clinical success. However, current foundation models have only been evalu

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