#COVID19T This repo contains the implmentation of the paper- 'MIA-COV19D: A transformer-based framework for COVID19 classification in chest CTs'

Notices

This is a part of work in the COV19D Competition https://mlearn.lincoln.ac.uk/mia-cov19d/

Citation

If you find this code is useful for your research, please consider citing:

@article{,
  title={MIA-COV19D: A transformer-based framework for COVID19 classification in chest CTs},
  author={Lei Zhang, Yan Wen},
  year={2021}
}

Setup

Prerequisites

• Annocoda
• python 3.8.10
• pytorch 1.8.1
• torchvision 0.9.1
• SimpleITK 2.0.2
• batchgenerators
• tensorboardX
• timm=0.4.9

refer to the requirement.txt for more specification 

Trained-model

The model is available at link

COVNet

Acknowledgement

This implementation is highly relied on the repos
Swin-Transformer
COVNet
Thanks for all these great work