模型 12

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CONCHv1_5 is based on the CONCH model, a vision-language model pretrained on 1.17 image/captions in histopathology. CONCHv1_5 is based on a…

`H-optimus-1` foundation model for histology, developed by Bioptimus.

`H0-mini` is a lightweight foundation model for histology developed by Owkin and Bioptimus.

model = timm.create_model( 'hf-hub:Wangyh/mSTAR', pretrained=True, init_values=1e-5, dynamic_img_size=True ) transform = transforms.Compose(…

Jinxi Xiang‡, Xiyue Wang‡, Xiaoming Zhang, Yinghua Xi, Feyisope Eweje, Yijiang Chen, Yuchen Li, Colin Bergstrom, Matthew Gopaulchan, Ted Kim…

[[📄 arXiv]](https://arxiv.org/abs/2506.05127)[[GitHub]](https://github.com/cvlab-stonybrook/PixCell)[[🔬 PixCell-1024]](https://huggingface.c…

PRISM is a multi-modal generative foundation model for slide-level analysis of H&E-stained histopathology images. Utilizing Virchow tile emb…

\[Journal article\] | \[Github Repo\] | TCGA-UT-8K data | \[Cite\]

UNI2, a successor to UNI, trained on over 200 million images from over 350k diverse H&E and IHC slides has been released! Model weights and…

\[Journal Link\] | \[Open Access Read Link\] | \[Github Repo\] | \[Cite\]

Virchow2 is a self-supervised vision transformer pretrained using 3.1M whole slide histopathology images. The model can be used as a tile-le…