Update README.md

README.md

@@ -9,11 +9,11 @@ library_name: timm
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-`StainNet` is a lightweight foundation model for special staining histology images. Arxiv preprint paper: [https://arxiv.org/abs/2512.10326]
+`StainNet` is a lightweight foundation model for histology images from **immunohistochemistry** and **special stains**. Arxiv preprint paper: [https://arxiv.org/abs/2512.10326]
 
-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].
+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].
 
-## Using StainNet to extract features from special staining pathology image
+## Using StainNet to extract features from immunohistochemistry and special staining pathology images
 
 ```python
 import timm