Auto-contouring that fits your clinical pace.
Orcrist ContourOAI is our AI auto-contouring product. Save hours of manual delineation per patient, with GPU-accelerated contouring across 225+ structures.
Head & neck OARs
Structures across all model groups
Head & neck nodal levels
Seed points required
All other treatment sites run at matching GPU-accelerated speed. Timings measured under a stable, low-latency network connection; actual processing time varies with network latency, image size and server load.
What it does
One unified platform.
From automated contouring to fine-tuning, training and deployment — every step integrated into a single workflow, not stitched together from separate tools.
OAR auto-contouring
Deep learning segmentation across 225+ structures — from cranial and head & neck through thorax, abdomen and pelvis. Every major treatment site, one platform.
- Cranial & brain structures
- Head & neck OARs — glands, vessels, muscles, bones
- Thorax — lungs, heart, great vessels
- Abdomen & pelvis — organs, bowel, reproductive structures
- Skeleton — vertebrae, ribs, sternum, pelvis, long bones
Lymph node region contouring
Atlas-consistent nodal volumes delineated automatically — eliminating the most variable and time-intensive step in head & neck radiotherapy planning.
- Bilateral levels IA, IB, IIA, IIB, III, IV, VA, VB
- Retropharyngeal and level VI nodes
- Consistent between clinicians and between sites
Contour Station
A cloud-based annotation workspace serving three purposes in one tool: correcting AI output, contouring manually from scratch, and creating training data.
- Slice-by-slice brush and eraser correction
- Full manual contouring of any structure
- Interpolation between manually edited slices
- Structure addition, splitting and merging
Mandatory review gate
No RT Struct leaves the platform without explicit clinician sign-off. The gate is a hard architectural constraint — it cannot be bypassed.
- Per-structure approval workflow
- Timestamped, identity-linked audit log
- AI-generated vs. clinician-edited versions tracked
Education & training
Accelerates radiotherapy education for residents, fellows and practising clinicians by providing AI reference contours to compare against, critique and correct.
- AI contour as a teaching baseline
- Side-by-side trainee, AI and consultant comparison
- Annotation tools for supervised correction exercises
- Tracked edits support structured feedback
Research & clinical studies
A complete research instrument, from DICOM ingestion through to annotated dataset export, with full audit trails and DSC benchmarking built in.
- Batch processing across large patient cohorts
- DSC and volumetric metrics computed per structure
- Export annotated datasets for publication or peer review
- Anonymisation pipeline integrated end to end
One tool, two purposes. The annotation interface used clinically is also the training data creation tool — annotated cases flow directly into the custom ML pipeline, eliminating any separate labelling workflow.
Custom ML training
Train your own structures. Even tumours.
ContourOAI is not a closed black box. Institutions can upload their own annotated datasets and fine-tune the model — adding custom structures, institutional protocols, or tumour contours specific to their patient population.
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1
Annotate your data
Use Contour Station to label your own CT cases. Any structure — from unusual OARs to GTV and CTV tumour volumes — can be annotated and curated as training data.
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2
Train a custom model
Submit the annotated dataset to the training pipeline. Models are fine-tuned on your institution's own cases, capturing your patient population, scanner protocols and delineation style.
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3
Deploy your model
Your model becomes available alongside the base OAR models. Select it at contouring time; it runs with the same speed and DICOMweb integration as the standard workflow.
Custom models are institution-private. Your training data never leaves your environment and is never used to train another customer's model.
Infrastructure & security
Cloud-powered. On-prem secure.
ContourOAI runs as a cloud AI service connected to your hospital via a secure on-premises DICOM gateway. Anonymisation happens before any data leaves your network — zero patient-identifiable data is retained in the cloud.
Patient data privacy
Full anonymisation before transfer. GDPR-compliant. Zero identifiable data retained post-processing.
Cloud data residency
Deploy on region-specific infrastructure for data residency — EU, Mumbai or Hyderabad regions, based on your requirements.
No TPS plugin required
Pure DICOMweb. Works with any DICOM-compatible PACS or TPS — no vendor agreements, no plugin installs.
Full on-prem option
For air-gapped environments, ContourOAI deploys fully on-premises on hospital GPU servers. Same workflow, zero cloud dependency.