pytorch onnx safetensors license:gpl-3.0 region:us
---
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}
}
```
