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@github-actions github-actions released this 15 Feb 21:24
· 50 commits to master since this release

Notable changes include:

  • Feature: Integrate 4 new nnUNet/MONAI models into sct_deepseg (contrast-agnostic softseg, SCI lesion/SC seg, spinal nerve rootlet seg, mouse GM/WM seg). View pull request
  • Feature: Save QC records to browser local storage to avoid losing data on refresh. View pull request
  • Feature: Update PAM50 template to include new PAM50_rootlets.nii.gz file. View pull request
  • Bugfix: Fix straightening error during registration if 3+ labels are supplied and topmost disc label is not C1. View pull request
  • Bugfix: Mitigate scaling issues (1.0 -> 0.999) due to float/int datatype mismatches between header and array. View pull request
  • Installation: Specify Rosetta 2 as a requirement for installation on Apple silicon (M1, M2, M3). View pull request
  • Documentation: Port changes from SCT Course 2023 Google Slides to the web tutorials. View pull request

Full release notes and Changelog

Results of batch_processing.sh on Ubuntu 20.04
~~~
Version:         git-master-6962e03b5906ab3466e6e330438dbea58d949407
Ran on:          Linux fv-az1018-974 5.15.0-1054-azure
Duration:        0hrs 17min 15sec
---
t2/csa_c2c3.csv:     73.8768043493825   [Row 1, MEAN(area)]
t2/csa_pmj.csv:      73.89184331879929  [Row 1, MEAN(area)]
t2/csa_pam50.csv:    34.23530487782326  [Row 39, MEAN(area)]
t2s/csa_gm.csv:      12.487533885581323 [Row 4, MEAN(area)]
t2s/csa_wm.csv:      64.93464311280606  [Row 4, MEAN(area)]
mt/mtr_in_wm.csv:    54.417007018368906 [Row 1, MAP()]
dmri/fa_in_cst.csv:  0.7758118559608612 [Row 1, WA()]
dmri/fa_in_cst.csv:  0.7733124731836604 [Row 2, WA()]
~~~
Results of batch_processing.sh on macOS 11 (Big Sur)
~~~
Version:         git-master-6962e03b5906ab3466e6e330438dbea58d949407
Ran on:          Darwin Mac-1708024085684.local 20.6.0
Duration:        0hrs 29min 31sec
---
t2/csa_c2c3.csv:     73.8709635738436   [Row 1, MEAN(area)]
t2/csa_pmj.csv:      73.89184331879929  [Row 1, MEAN(area)]
t2/csa_pam50.csv:    34.23530487782326  [Row 39, MEAN(area)]
t2s/csa_gm.csv:      12.487533885581323 [Row 4, MEAN(area)]
t2s/csa_wm.csv:      64.93464311280606  [Row 4, MEAN(area)]
mt/mtr_in_wm.csv:    54.41827830455262  [Row 1, MAP()]
dmri/fa_in_cst.csv:  0.7761900951571409 [Row 1, WA()]
dmri/fa_in_cst.csv:  0.7765149187171309 [Row 2, WA()]
~~~
Results of batch_processing.sh on Windows 2019
~~~
Version:         git-master-6962e03b5906ab3466e6e330438dbea58d949407
Ran on:          MINGW64_NT-10.0-17763 fv-az1488-920 3.4.9-be826601.x86_64
Duration:        0hrs 23min 38sec
---
batch_processing.sh: line 270: D:\a\spinalcordtoolbox\spinalcordtoolbox/python/envs/venv_sct/bin/python: No such file or directory
t2/csa_c2c3.csv:     73.8768043493825   [Row 1, MEAN(area)]
t2/csa_pmj.csv:      73.89184331879929  [Row 1, MEAN(area)]
t2/csa_pam50.csv:    34.23530487782326  [Row 39, MEAN(area)]
t2s/csa_gm.csv:      12.487533885581323 [Row 4, MEAN(area)]
t2s/csa_wm.csv:      64.93464311280606  [Row 4, MEAN(area)]
mt/mtr_in_wm.csv:    54.417007018368906 [Row 1, MAP()]
dmri/fa_in_cst.csv:  0.7758118559608612 [Row 1, WA()]
dmri/fa_in_cst.csv:  0.7733124731836604 [Row 2, WA()]
~~~