r20240523

Note

I updated the asset (model-spinal-rootlets_ventral_D106_r20240523.zip) of this release on 2024-09-05 to keep the nnUNet output structure intact in order to make the model compatible with sct_deepseg and 3DSlicer software.

This release contains the ventral D106 model (fold_all) providing semantic (i.e., level-specific) segmentation of dorsal and ventral nerve rootlets C2-C8. The orientation of the input image is expected to be LPI (left-posterior-inferior).
For details about the ventral model D106, see #43.

⚠️ Instructions on how to use the ventral model are available in this README.
⚠️ Please note that the ventral model is still under development and is not yet available in the Spinal Cord Toolbox (SCT).
⚠️ For the stable model for dorsal rootlets only, use SCT v6.2 or higher (please refer to this README).

What's Changed

• README.md: Add citation info for arxiv preprint by @joshuacwnewton in #34
• Update README with SCT v6.2 by @valosekj in #35
• Datasets V1 and V2 for training of the ventral model by @LouisThomasLapointe in #38
• Ltl/new datasets by @LouisThomasLapointe in #41
• Add codebase for PAM50 rootlets by @valosekj in #44
• Add instructions and script on how to use the ventral rootlets model by @valosekj in #47

New Contributors

• @joshuacwnewton made their first contribution in #34
• @LouisThomasLapointe made their first contribution in #38

Full Changelog: r20240129...r20240523