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Version 2.2.1
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@alexzwanenburg alexzwanenburg released this 19 Apr 14:59
· 223 commits to master since this release
v2.2.1
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Learn about vigilant mode.

Minor changes

  • If mask-related parameters are not provided for computing features or processing of images for deep learning, a
    mask is generated that covers the entire image.

  • Add fall-back methods for missing installation of the ray package for parallel processing. This can happen when
    a python version is not supported by the ray package. ray is now a conditional dependency, until that package
    is released for python 3.12.

  • The default export format for deep_learning_processing and deep_learning_processing_generator is now dict,
    because the sample name is important for matching against observed outcomes.

  • write_file arguments of extract_mask_labels and extract_image_parameters were deprecated as these were
    redundant.

Fixes

  • Streamlined importing and reading DICOM files results in faster processing of DICOM-based imaging.

  • Fixed an indexing issue when attempting to split masks into bulk and rim sections in a slice-wise fashion.

  • Fixed an indexing issue in Rank's method for noise estimation.

  • Fixed incorrectly named image parameters file export. Instead of mask_labels.csv, image parameters are now
    correctly exported to image_metadata.csv.

Assets 4
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