·
4 commits
to nk/contrast-agnostic-v2
since this release
Improved version of contrast-agnostic spinal cord segmentation model trained on healthy subjects and pathologies in the cervical cord. The dataset_stats_overall.txt contains the list of contrasts, pathologies, and the respective splits for each.
Works well on:
- Spinal cord injury (SCI) lesions
- GRE-EPI images
- B0 Field Map images
- Lumbar cord
- PSIR and STIR contrasts
- [NEW] whole-spine images (tested on T1w/T2w only)
What's Changed
- Update preprocessing script for spine-generic with new naming convention by @sandrinebedard in #105
- Continual training of
contrast-agnosticmodel with new contrasts and pathologies by @naga-karthik in #104
Full Changelog: v2.3...v2.4.1-beta
Contributors
naga-karthik and sandrinebedard