[非官方]

这是 CTransPath 的非官方重新托管仓库。 原始官方仓库地址为 https://github.com/Xiyue-Wang/TransPath 论文地址为 https://www.sciencedirect.com/science/article/abs/pii/S1361841522002043

CTransPath 采用 GPLv3 许可证发布，仅供非商业学术用途。

本工作与 CTransPath 作者无关联，旨在帮助他人复用该模型。

请使用以下变换配合此模型。

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)
    ]
)

如果您觉得此模型有用，请引用 CTransPath 作者的论文。也请查看作者的 GitHub 仓库以获取其他需要引用的论文。

@{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}
}