the automated tool to Post-Processing the data Brain Tumor include n4 bias Correction and Skull Stripinng
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PostProcessig dataset Brast2020;
this tool built based on top of BET algorithm that publish from FSL and N4baisCorrection we automated the process and handle the data in 3D shape
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installation Requires packages
pip install -r requirements.txt
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tool description ;
we develpoed a simple tool that helps to Post Processing the dstaset
- N4 bais Correction field this will increase the Low intensity of the image to run :
python Postprocessing.py --config 'data_Brast.yaml' --path Processed --n4baiscorrection
- Skull Stripping this technic helps to reduce tissues such skull and midbrain .. only we do care about in our project is brain tissues to tun it :
python Postprocessing.py --config 'data_Brast.yaml' --path Processed --skull_stripping
- N4 bais Correction field this will increase the Low intensity of the image to run :
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Virtualization dataset Brast2020;
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vitualize few samples from the data you need to run this command
- the Options to plot the corrected with oring img type_plot:
- option 1 -> Anat
- option 2 -> epi
- option 3 -> img
python virtaulizer.py --corrected_samples --type_plot option
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for rendering the images in 3D or 2d slices you will need to run
python virtaulizer.py --v2Drender
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this commaned may takes will depends on the GPU perfomence you have
python virtualizer.py --v3Drender
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