Awesome
TraCoCo
Translation Consistent Semi-supervised Segmentation for 3D Medical Images
<img src="https://user-images.githubusercontent.com/102338056/233821073-0484586c-31a0-4f3f-b4e4-e4837bb2427a.png" width="800" height="300" />by Yuyuan Liu, Yu Tian, Chong Wang, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis and Gustavo Carneiro
update
- :rocket: results of best evaluation protocol in Pancreas-CT (including checkpoints and training logs) are available now.
- :sparkles: results for ACDC benchmark (including codes, checkpoints and training logs) are available now.
Installation
Please install the dependencies and dataset based on the installation document.
Getting start
Please follow this instruction document to reproduce our results.
Results
Our training logs and checkpoints are in this result page.
Citation & Acknowledgement
Please consider citing our paper in your publications if it helps your research.
@article{liu2022translation,
title={Translation Consistent Semi-supervised Segmentation for 3D Medical Images},
author={Liu, Yuyuan and Tian, Yu and Wang, Chong and Chen, Yuanhong and Liu, Fengbei and Belagiannis, Vasileios and Carneiro, Gustavo},
journal={arXiv preprint arXiv:2203.14523},
year={2022}
}
The code is partially borrowed from CPS and UA-MT. Many thanks for their great work. :)
TODO
- Code for Left Atrium (LA)
- Code for Pancreas-CT (Pancreas)
- Code for Brain Tumor Segmentation Challenge 2019 (BraTS19)
- Code for Automated Cardiac Diagnosis Challenge (ACDC)