Use case · Idea to test
Mark regions in an MRI
Return a mask that a reviewer can inspect.
- MRI volume
- Predict a region mask
- Review the boundaries
A medical-image research tool could mark structures or specified findings in a scan for expert review. A region mask is more useful for this task than a written coordinate or a single click point.
Where the small model fits
A scan encoder feeds a segmentation head that labels locations across the image volume. Intermediate masks could be compared with the full model to study whether computation can stop earlier; that requires a medical model and its own training.
What would need to work
Compare with a conventional full-depth segmentation model on patient-separated cases, including timing. Check missed regions, boundary errors and failures across scanners. Overall pixel accuracy can hide a small important finding. No medical segmentation model has been tested here.
Research proposal only. SkinDeep has no clinical model, patient-use demo or validated medical performance for this task.
A dataset to start with
BraTS provides a research task for brain-tumor segmentation in multimodal MRI. It does not cover every anatomy or MRI use case. BraTS MRI segmentation task.