ivadomed / ivadomed/model-spinal-rootlets
Retrain the cervical model on cropped data
@AcastaPaloma is already working on this.
Since Jul 9, 2026.
- Dominant language
- Python
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Description
Retrain the cervical model on cropped data to speed up inference.
Details on the training of the current model and data used:
- https://github.com/ivadomed/model-spinal-rootlets/tree/main/training
- https://github.com/ivadomed/model-spinal-rootlets/blob/main/training/hc-leipzig-7t-mp2rage/MP2RAGE_T2w_fold_splits.csv
- Data: see the "Data availability" section in [this paper](https://www.nature.com/articles/s41598-026-49164-0.pdf)
Approach:
1. Train the model on cropped images; resources:
- https://github.com/ivadomed/sc-crop
- https://github.com/spinalcordtoolbox/spinalcordtoolbox/pull/5260
2. Compare the cropped model performance with the original model
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