Skip to content

Commit abf5c43

Browse files
committed
update readme, add myops
1 parent 46b6567 commit abf5c43

File tree

1 file changed

+10
-3
lines changed

1 file changed

+10
-3
lines changed

README.md

+10-3
Original file line numberDiff line numberDiff line change
@@ -34,7 +34,11 @@ Run the following command to install the current released version of PyMIC:
3434
```bash
3535
pip install PYMIC
3636
```
37+
To install a specific version of PYMIC such as 0.2.4, run:
3738

39+
```bash
40+
pip install PYMIC==0.2.4
41+
```
3842
Alternatively, you can download the source code for the latest version. Run the following command to compile and install:
3943

4044
```bash
@@ -49,12 +53,15 @@ python setup.py install
4953
# Projects based on PyMIC
5054
Using PyMIC, it becomes easy to develop deep learning models for different projects, such as the following:
5155

52-
1, [COPLE-Net][coplenet] (TMI 2020), COVID-19 Pneumonia Segmentation from CT images.
56+
1, [MyoPS][myops] Winner of the MICCAI 2020 myocardial pathology segmentation (MyoPS) Challenge.
57+
58+
2, [COPLE-Net][coplenet] (TMI 2020), COVID-19 Pneumonia Segmentation from CT images.
5359

54-
2, [Head-Neck-GTV][hn_gtv] (NeuroComputing 2020) Nasopharyngeal Carcinoma (NPC) GTV segmentation from Head and Neck CT images.
60+
3, [Head-Neck-GTV][hn_gtv] (NeuroComputing 2020) Nasopharyngeal Carcinoma (NPC) GTV segmentation from Head and Neck CT images.
5561

56-
3, [UGIR][ugir] (MICCAI 2020) Uncertainty-guided interactive refinement for medical image segmentation.
62+
4, [UGIR][ugir] (MICCAI 2020) Uncertainty-guided interactive refinement for medical image segmentation.
5763

64+
[myops]: https://github.com/HiLab-git/MyoPS2020
5865
[coplenet]:https://github.com/HiLab-git/COPLE-Net
5966
[hn_gtv]: https://github.com/HiLab-git/Head-Neck-GTV
6067
[ugir]: https://github.com/HiLab-git/UGIR

0 commit comments

Comments
 (0)