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# CT Lung Segmentation





  
  

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This repository contains the codes for lung and airway segmentation from CT scans, used in "Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules", [MICCAI'17](https://arxiv.org/abs/1707.01086).





  
  

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## Files





  
  

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* ```demo_ct_lung_segment.ipynb```: demo code to walk through the steps implementated in ```main.py```.





  
  

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* ```main.py```: main code of the segmentation.





  
  

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* ```segment_lung.py```: coarse segmentation of lung & airway. 





  
  

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* ```segment_airway.py```: extraction of airway. 





  
  

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* ```utils.py```: utility functions.





  
  

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* ```data```: input sample.





  
  

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* ```result```: output sample.





  
  

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***Note***: the sample image is down-sampled from a CT scans in the [LIDC-IDRI](http://doi.org/10.7937/K9/TCIA.2015.LO9QL9SX) dataset.





  
  

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## Requirements





  
  

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* numpy





  
  

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* nibabel





  
  

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* scipy





  
  

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* scikit-image





  
  

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## Usage





  
  

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```





  
  

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    $ git clone https://github.com/wanwanbeen/ct_lung_segmentation





  
  

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    $ cd ct_lung_segmentation





  
  

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    $ python main.py





  
  

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```