
Prov-GigaPath, a novel whole-slide pathology foundation model, achieves state-of-the-art performance on various digital pathology tasks by leveraging large-scale pretraining on real-world data and ultra-large-context modelling.


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Prov-GigaPath, a whole-slide pathology foundation model pretrained on a large dataset containing around 1.3 billion pathology images, attains state-of-the-art performance in cancer classification and pathomics tasks.

A whole-slide foundation model for digital pathology from real-world data - Nature

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A Comprehensive Whole-Slide Foundation Model for Digital Pathology Leveraging Real-World Data
