@@ -34,7 +34,11 @@ Run the following command to install the current released version of PyMIC:
3434``` bash
3535pip 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+ ```
3842Alternatively, 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
5054Using 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
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