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.

• demo_ct_lung_segment.ipynb: demo code to walk through the steps implementated in main.py.
• main.py: main code of the segmentation.
• segment_lung.py: coarse segmentation of lung & airway.
• segment_airway.py: extraction of airway.
• utils.py: utility functions.
• data: input sample.
• result: output sample.

Note: the sample image is down-sampled from a CT scans in the LIDC-IDRI dataset.

• numpy
• nibabel
• scipy
• scikit-image

    $ git clone https://github.com/wanwanbeen/ct_lung_segmentation
    $ cd ct_lung_segmentation
    $ python main.py