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Reproducible Machine Learning Methods for Lung Cancer Detection Using Computed Tomography Images. JMIR (in press).

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README

Docker Images for Chest CT Analyses

  • Quick summary: Docker images of the award-winning cancer detection algorithms for chest CT images are at http://rebrand.ly/chestct. Below is a quick instruction on accessing the docker images.

  • Version: 1.0.0

  • Dependencies: Ubuntu (>=14.04) and NVIDIA GPU driver

  • To access the dockers:

    • Step 1. Install nvidia-docker (https://github.com/NVIDIA/nvidia-docker)
    • Step 2. Download the chest CT image data (stage1.7z and stage1_labels.csv; https://www.kaggle.com/c/data-science-bowl-2017) and put them under /mnt/data.
    • Step 3. docker pull dsb2017/dsb<solution_number> For example, docker pull dsb2017/dsb01
    • Step 4. nvidia-docker run -it --shm-size <Depending on the size of the memory> --rm dsb2017/dsb <solution_number> bash For example, nvidia-docker run -it --shm-size 12G --rm dsb2017/dsb01 bash

  • Contact:
    Kun-Hsing Yu <Kun-Hsing_Yu AT hms dot harvard DOT edu>;

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Reproducible Machine Learning Methods for Lung Cancer Detection Using Computed Tomography Images. JMIR (in press).

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