dcmqi
, you can download the binary package with the command line converters for Windows, Linux and macOS from this page (both the latest release and pre-release corresponding to the current version of the source code): https://github.com/QIICR/dcmqi/releases.itkimage2segimage
command and related tools in dcmqi
along with a JSON parameter file so that the segmentation output is described in terms of standardized vocabularies such as SNOMED, and segmentation can be saved in DICOM format side by side and cross-referenced with the source image data. This can help remove ambiguity about the meaning of the resultsdcmqi
from Docker):segimage2itkimage
to extract conventional NIfTI files of the segmentations or tid1500reader
to convert structured reports into JSON.dcmqi
utilities to convert to and from research formats.