@@ -34,7 +34,11 @@ Run the following command to install the current released version of PyMIC:
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``` bash
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pip install PYMIC
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```
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+ To install a specific version of PYMIC such as 0.2.4, run:
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+ ``` bash
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+ pip install PYMIC==0.2.4
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+ ```
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Alternatively, you can download the source code for the latest version. Run the following command to compile and install:
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``` bash
@@ -49,12 +53,15 @@ python setup.py install
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# Projects based on PyMIC
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Using PyMIC, it becomes easy to develop deep learning models for different projects, such as the following:
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- 1, [ COPLE-Net] [ coplenet ] (TMI 2020), COVID-19 Pneumonia Segmentation from CT images.
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+ 1, [ MyoPS] [ myops ] Winner of the MICCAI 2020 myocardial pathology segmentation (MyoPS) Challenge.
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+
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+ 2, [ COPLE-Net] [ coplenet ] (TMI 2020), COVID-19 Pneumonia Segmentation from CT images.
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- 2 , [ Head-Neck-GTV] [ hn_gtv ] (NeuroComputing 2020) Nasopharyngeal Carcinoma (NPC) GTV segmentation from Head and Neck CT images.
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+ 3 , [ Head-Neck-GTV] [ hn_gtv ] (NeuroComputing 2020) Nasopharyngeal Carcinoma (NPC) GTV segmentation from Head and Neck CT images.
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- 3 , [ UGIR] [ ugir ] (MICCAI 2020) Uncertainty-guided interactive refinement for medical image segmentation.
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+ 4 , [ UGIR] [ ugir ] (MICCAI 2020) Uncertainty-guided interactive refinement for medical image segmentation.
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+ [ myops ] : https://github.com/HiLab-git/MyoPS2020
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[ coplenet ] :https://github.com/HiLab-git/COPLE-Net
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[ hn_gtv ] : https://github.com/HiLab-git/Head-Neck-GTV
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[ ugir ] : https://github.com/HiLab-git/UGIR
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