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  The model is a Vision Transformer Small/16 with DINO [1] self-supervised pre-training on 1,418,938 patch images from 20,231 special staining whole slide images (WSIs) in HISTAI [2].
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- ## Using StainNet to extract features
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  ```python
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  import timm
 
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  The model is a Vision Transformer Small/16 with DINO [1] self-supervised pre-training on 1,418,938 patch images from 20,231 special staining whole slide images (WSIs) in HISTAI [2].
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+ ## Using StainNet to extract features from special staining pathology image
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  ```python
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  import timm