# MTCL

**Repository Path**: huogenwang/MTCL

## Basic Information

- **Project Name**: MTCL
- **Description**: No description available
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-11-23
- **Last Updated**: 2021-11-23

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Mean-Teacher-Assisted Confident Learning (MTCL)
- Implementation of our [paper](https://link.springer.com/chapter/10.1007/978-3-030-87193-2_1) "Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation" MICCAI 2021.    
- [Note] We are working on an extended version, 3D version and other datasets will be included. This's an initial report, code will be further re-organized but the core implementation is included that can be easily adapted to your own dataset. The preprocessed 2D hepatic data and other simulated 3D datasets will be available after journal publication. Stay tuned!


## Citation
If our work brings some insights to you, please cite our paper as:
```
@artical{xu2021noisylabel,
  title={Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation},
  author={Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jagadeesan Jayender, Kai Ma, Yefeng Zheng and Xiu Li},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year={2021}
}
```

## Acknowledgement
The backbone, training and test scripts are mainly based on the project [SSL4MIS](https://github.com/HiLab-git/SSL4MIS). Thanks Xiangde!