AI-powered organ and lesion segmentation from CT and MRI — 117+ anatomical structures auto-contoured and exported to STL, OBJ, glTF, NIfTI, or DICOM-SEG in minutes. On-premise, HIPAA-compliant.
Upload a DICOM series, get a fully segmented, export-ready 3D model — no manual contouring, no scripting.
Anatomical structures auto-contoured from a single CT or MRI volume. From whole-body organ sets to targeted region-of-interest workflows — axial, sagittal, and coronal views generated in a single pass. DICOM-SEG ready for immediate round-trip to your PACS.
Deep-learning models trained on large multi-institutional datasets. Whole-body organ sets, tumour regions, and vasculature — all from a single volume upload.
Full-body volumetric render with isolated organ layers. Rotate, slice, and inspect in the browser — then export to STL or glTF for 3D printing, surgical planning, or AR/VR.
Segmentation results export as DICOM-SEG objects that load directly into your existing PACS — no format conversion, no workarounds. Fully compatible with Orthanc and standard DIMSE storage.
Runs entirely on your network via Docker. Patient imaging data and PHI never leave your infrastructure. Full audit trail and role-based access included.
One segmentation run, five export formats. Use the same result for 3D printing, surgical planning, AR/VR, research, and PACS archiving.
Standard mesh formats ready for FDM or resin printers. Per-organ layers let you colour-code structures or print individual organs in isolation.
Industry-standard format for real-time 3D — loads directly into Unity, Unreal, WebXR, or any AR/VR headset. Preserves material and colour per structure.
NIfTI for downstream analysis in FSL, ITK-SNAP, and Python. DICOM-SEG for round-tripping directly back into your PACS with no format conversion required.
CT multi-organ slices and full 3D volumetric renders — generated automatically from uploaded DICOM series.
15-minute demo on your own CT or MRI data. We'll show you the full pipeline from DICOM upload to 3D export — no sales pressure, just the team that built it.
