Update README.md

README.md

@@ -1,3 +1,51 @@
 ---
 license: gpl-3.0
 ---
+
+[UNOFFICIAL]
+
+This is a unofficial, rehosted repository for CTransPath. 
+The original and official repository is https://github.com/Xiyue-Wang/TransPath
+and the paper is https://www.sciencedirect.com/science/article/abs/pii/S1361841522002043
+
+CTransPath is released under the GPLv3 License and is available for non-commercial academic purposes.
+
+This work is not affiliated with the authors of CTransPath and is intended to help
+others reuse the model.
+
+Please use the following transform with this model.
+
+```python
+from torchvision import transforms
+
+mean = (0.485, 0.456, 0.406)
+std = (0.229, 0.224, 0.225)
+trnsfrms_val = transforms.Compose(
+    [
+        transforms.Resize(224),
+        transforms.ToTensor(),
+        transforms.Normalize(mean = mean, std = std)
+    ]
+)
+```
+
+If you find this useful, cite the papers of the CTransPath authors. Please also check the authors' 
+GitHub repository for any other papers to cite.
+
+```bibtex
+@{wang2022,
+  title={Transformer-based Unsupervised Contrastive Learning for Histopathological Image Classification},
+  author={Wang, Xiyue and Yang, Sen and Zhang, Jun and Wang, Minghui and Zhang, Jing  and Yang, Wei and Huang, Junzhou  and Han, Xiao},
+  journal={Medical Image Analysis},
+  year={2022},
+  publisher={Elsevier}
+}
+@inproceedings{wang2021transpath,
+  title={TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification},
+  author={Wang, Xiyue and Yang, Sen and Zhang, Jun and Wang, Minghui and Zhang, Jing and Huang, Junzhou and Yang, Wei and Han, Xiao},
+  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
+  pages={186--195},
+  year={2021},
+  organization={Springer}
+}
+```