ivadomed / ivadomed/model-spinal-rootlets
Testing cervical model on `dcm-brno` dataset
- Dominant language
- Python
- Stars
- 8
- Forks
- 2
- PR merge metrics
- No merged PRs in 30d
Description
This issue describes the application of the [r20240523](https://github.com/ivadomed/model-spinal-rootlets/releases/tag/r20240523) model (for dorsal and ventral rootlets) on T2*w axial images (0.35 x 0.35 x 2.5mm) of C spine from the `dcm-brno` dataset (to be shared soon - [#326](https://github.com/neuropoly/data-management/issues/326)). The model has been tested on a few subjects from this dataset.
Here are examples of its use on a healthy subject and a subject with compression:
### Example of healthy subject:
- In this subject, the model segmented the rootlets quite well, but the spinal level order doesn't match - see below:

### Example of a subject with compression:
- In this subject, the model does not preform well (spinal level does not match) - see below:

Contributor guide
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Research direction
Start by reviewing the r20240523 model results described for healthy and compressed subjects, then obtain the dcm-brno dataset referenced in #326. Compare segmentation quality and spinal-level ordering across the reported cases; done means documenting whether the observed mismatches are reproducible and what follow-up is needed.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100