This is supplementary material for the manuscript:

"Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network"
M. Anthimopoulos, S. Christodoulidis, L. Ebner, A. Christe and S. Mougiakakou
IEEE Transactions on Medical Imaging (2016)

In case of any questions, please do not hesitate to contact us.

This code was used on a Linux machine with Ubuntu (14.04.3 LTS) using the following setup:

• CUDA (7.5)
• cuDNN (v3)
• python (2.7.6) with
  • theano (0.8)
  • keras (0.3.2)
  • numpy (1.10.4)
  • argparse (1.2.1)
  • sklearn (0.17)
• python-opencv (2.4.10)

There are three major components

• main.py : the main script which parses the train parameters, loads some sample data and runs the training of the CNN.
• helpers.py : a file with some helper functions for parsing the input parameters, loading sample data and calculating a number of evaluation metrics
• cnn_model.py : this file implements the architecture of the proposed CNN and trains it.

python main.py : runs an experiment with the default parameters
python main.py -h : shows the help message