Brain MRI Segmentation
Three planes sagittal, coronal and axial views segmented from the same volume.
- Client
- Confidential
- Year
- 2025
- Category
- AI
- Role
- TODO(owner): confirm
- Timeline
- TODO(owner): confirm
The problem
An MRI is a volume, but clinicians read it as slices in three orthogonal planes. A segmentation is only useful if it stays consistent as you move between those views.
What we built
The model labels anatomical regions in the volume and renders them as colour-coded masks over the greyscale scan, presented simultaneously in the sagittal, coronal and axial planes so the same segmentation can be inspected from all three.
The result
TODO(owner): no results were supplied for this project. Confirm accuracy, dataset and clinical context before this goes in front of a client.
- sagittal, coronal and axial, from one volume
- 3 planessagittal, coronal and axial, from one volume
- each structure rendered as its own mask
- per regioneach structure rendered as its own mask
- labels carried through the stack, not drawn per slice
- volumetriclabels carried through the stack, not drawn per slice
Built with
- Python
- PyTorch
- Segmentation
- Medical imaging
We deliver what we commit.
Tell us what you're trying to build.
We'll come back within 24 hours with honest feedback on scope, timeline and cost, whether or not we turn out to be the right fit.