# CT_MR_2D_Dataset_DA

**Repository Path**: Felix660/CT_MR_2D_Dataset_DA

## Basic Information

- **Project Name**: CT_MR_2D_Dataset_DA
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-07-27
- **Last Updated**: 2021-07-27

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# CT_MR_2D_Dataset_DA

It contains five zipped files of CT and MR images as described below:

# CT with ground truth

The file `CT_withGT.zip' contains 20 cases of CT, each case has 16 slices from the long-axis
view around the center of left ventricular cavity. We provided their ground truth for LV and Myocardium.


# CT without ground truth


The file `CT_woGT.zip' constains 32 cases of CT, each case has 16 slices from the long-axis
view around the center of left ventricular cavity. They do not have the manual labeled ground truth. We use the automatic segmentation method, i.w., M3AS [1], to abtain their pseudo-lables. Noying that these pseudo-lables can not be used for testing or validation, as there exists error in them.

# MR with ground truth

The file ` MR_withGT.zip' contains 20 cases of MR, each case has 16 slices from the long-axis
view around the center of left ventricular cavity. We provided their ground truth for LV and Myocardium.

# MR without ground truth

The file ` MR_woGT.zip' contains 26 cases of MR, each case has 16 slices from the long-axis
view around the center of left ventricular cavity. They do not have the manual labeled ground truth. We use the automatic segmentation method, i.w., M3AS , to abtain their pseudo-lables. Noying that these pseudo-lables can not be used for testing or validation, as there exists error in them.


# Citation

If you found the repository useful, please cite our work as below:
```
@article{Zhuang2016Multi,
  title={Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI.},
  author={Zhuang, Xiahai and Shen, Juan},
  journal={Medical Image Analysis},
  pages={77-87},
  year={2016},
}

```
and 

```
@ARTICLE{9165963,

  author={F. {Wu} and X. {Zhuang}},

  journal={IEEE Transactions on Medical Imaging}, 

  title={CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation}, 

  year={2020},

  volume={},

  number={},

  pages={1-1},}
```

or
```
F. Wu and X. Zhuang, "CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation," in IEEE Transactions on Medical Imaging, doi: 10.1109/TMI.2020.3016144.
```

# Reference
1. X. Zhuang and J. Shen, “Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI,” Medical image analysis, vol. 31, pp. 77–87, 2016.