This repository includes the official project of TFCNs, presented in our paper: TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation
paper link: https://arxiv.org/abs/2207.03450
Gmail: dihanli@stu.xmu.edu.cn
Please contact me if you need the dataset.
More details of code & readme will come soon!
model/ : save for the model you have train
networks/ : all the component that construct our TFCNs
preprocess.py : simple data augumentation
train_utils.py : some tools used for training
utils.py : some tools used for testing
you can run the train.py and test.py for training and testing.
Please prepare an environment with python=3.7, and then use the command "pip install -r requirements.txt" for the dependencies.
@article{li2022TFCNs,
title={TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation},
author={Li, Zihan and Li, Dihan and Xu, Cangbai and Wang, Weice and Hong, Qingqi and Li, Qingde and Tian, Jie},
journal={arXiv preprint arXiv:2207.03450},
year={2022}
}