r20240531

Improved version of contrast-agnostic spinal cord segmentation model trained on healthy subjects and pathologies in the cervical cord:

• Contrasts: T1w, T2w, T2star, MTon-MTS, MToff-MTS, DWI (averaged), mp2rage UNIT1, PSIR, STIR
• Pathologies: multiple sclerosis (MS) patients, compressed spinal cords in degenerative cervical myelopathy (DCM) patients.

Works well on:

• Spinal cord injury (SCI) lesions
• GRE-EPI images
• B0 Field Map images
• Lumbar cord
• PSIR and STIR contrasts

Main difference from version v2.3 is the addition of lumbar T2w images and PSIR/STIR contrasts of MS patients.

The train/val/test splits from all the datasets used to train this model can be found in the datasplits folder in the source code. Further details on the number of training samples across all datasets and samples per contrast can be found in dataset_splits.md.

EDIT: the initial .zip file containing the model was corrupted, hence a new (fixed) .zip was uploaded

What's Changed

• Update preprocessing script for spine-generic with new naming convention by @sandrinebedard in #105

Full Changelog: v2.3...v2.4