CT / MRIInteractive

Nalvera iSeg

Interactive segmentation for CT and MRI in your browser: click inside a structure to include it and outside to exclude it, and Nalvera iSeg outlines it for you to refine with brushes.

Open the Studio →

Use Nalvera iSeg in your browser: it runs in the cloud. No coding, no installation.

You upload
CT or MRI scan
You get
Your own mask
Tasks
1
Cost
Per AI update
Where
Interactive Studio

How interactive segmentation works

  1. Upload a CT or MRI scan as a .nii.gz file or a whole DICOM folder.

  2. Click inside a structure to include it and outside to exclude it. The first run needs three clicks; after that, Nalvera iSeg updates the 3D outline after each click.

  3. Refine the edge with the circle, smart or smart-3D brush and save your structures to Results as a .nii.gz mask.

Is it right for your scan?

Intended use

Research segmentation and correction of user-defined structures, including organs and lesions. Not for primary diagnosis or treatment planning.

Known limitations

Output quality depends on click placement and image contrast. Ambiguous or low-contrast boundaries may need several clicks or manual brush correction.

Available task

Interactive segmentation

Default

Create and correct your own structures in the Studio.

Input
A CT or MRI scan, with clicks that guide each structure.
Output
A segmentation mask holding your structures, saved to Results. You name and colour each structure.

After the AI task

Correct the result in your browser, then measure each structure and follow it across your study. See what is measured

Questions about Nalvera iSeg

How do I measure a lesion I outline?

In the Interactive Studio, open the scan from your study, outline the lesion with clicks and save. The patient's Quantification table then lists its volume and, under Columns, its maximum 3D diameter and axial long and short axes. Outlines over 1 million voxels and scans with SPECT and no PET get no diameters.

Other models

Citing Nalvera.AI

Use this platform citation when describing work carried out with Nalvera iSeg.

@misc{nalvera,
  title        = {Nalvera.AI: a cloud platform for medical-imaging AI},
  author       = {{van der Heyden, Brent}},
  year         = {2026},
  howpublished = {\url{https://nalvera.ai}},
  note         = {Model: Nalvera iSeg (interactive). Accessed YYYY-MM-DD}
}
Research use only — not a medical device. Outputs are not validated for clinical diagnosis or treatment.
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