|
--- |
|
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} |
|
} |
|
``` |
|
|
