Version 2.2.1
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 theray
package.ray
is now a conditional dependency, until that package
is released for python3.12
. -
The default export format for
deep_learning_processing
anddeep_learning_processing_generator
is nowdict
,
because the sample name is important for matching against observed outcomes. -
write_file
arguments ofextract_mask_labels
andextract_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 toimage_metadata.csv
.