This section contains various pointers that may be helpful working with Google Colab.
Google Colaboratory, or “Colab” for short, is a product from Google Research. Colab allows anybody to write and execute arbitrary python code through the browser, and is especially well suited to machine learning, data analysis and education. More technically, Colab is a hosted Jupyter notebook service that requires no setup to use, while providing free access to computing resources including GPUs.
IDC Colab example notebooks are maintained in this repository: https://github.com/ImagingDataCommons/IDC-Examples/tree/master/notebooks
Deep-learning Nodule Segmentation using LIDC dataset on Google Cloud Platform, contributed by Kuan (Kevin) Zhang, Mayo Clinic
3D Brain MRI Classification Using Imaging Data Commons, Google Cloud, and NIFTI files, contributed by Pouria Rouzokh, Mayo Clinic
Colab limitations: https://research.google.com/colaboratory/faq.html
Transferring data between Colab and Google Drive: https://gist.github.com/yt114/dc5d2fd4437f858bb73e38f0aba362c7
Potentially interesting sources of example notebooks: