Virchow2 is a selfsupervised vision transformer pretrained using 3.1M whole slide histopathology images. The model can be used as a tilelevel feature extractor (frozen or finetuned) to achieve stateoftheart results for a wide variety of downstream computational pathology use cases. Model D
PRISM is a multimodal generative foundation model for slidelevel analysis of H&Estained histopathology images. Utilizing Virchow tile embeddings and clinical report texts for pretraining, PRISM combines these embeddings into a single slide embedding and generates a textbased diagnostic report.
Virchow is a selfsupervised vision transformer pretrained using 1.5M whole slide histopathology images. The model can be used as a tilelevel feature extractor (frozen or finetuned) to achieve stateoftheart results for a wide variety of downstream computational pathology use cases. Model Det