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