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August 2023 (version 2.0.0)

  • Utilizes MONAI instead of NiLearn as the image loading and processing core.
    • This results in data loading and augmentation speeds seemingly 10-20x faster in my experiments (your results may vary).
  • Simplifies configuration options.
  • Removes support for generating filenames as this caused more headaches than it was worth.
  • Due to the above changes, old configuration files are not likely to work anymore.
  • Images are now read as MONAI MetaTensor objects.
  • Preprocessing is now done almost entirely in Torch.
  • Adds requirements.txt
  • Adds Quick Start Guide
  • Adds more FAQs
  • Adds Normalization documentation
  • Allows for using MONAI loss classes
  • Removes old examples
  • Using --fit_gpu_mem is no longer supported
  • Removes old sequences/datasets (we will try adding some back in the future)