AutoContour generates fast, accurate, AI-driven, deep-learning contours, with over 90 of the most common structures pre-loaded to jumpstart the planning process. Works seamlessly with most treatment planning and imaging systems, and provides a unique integration with Eclipse and ClearCheck for streamlined contouring.

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Start Reviewing Automated Contours in Under 30 Seconds

AutoContour comes with ready-to-go CT & MR structure models, from head to femur, ensuring rapid implementation for treatment planning-ready contours in minutes. With no user configuration required, faster contours are just a click away.

Chest & Abdomen

Chest & Abdomen

  • Aorta (Full/Asc/Desc)
  • Axillary I, II, III Nodes (L/R)
  • Body
  • Bowel Bag
  • Brachial Plexus (L/R)
  • Breast (L/R)
  • Bronchus
  • Carina
  • Esophagus
  • Heart
  • Humerus (L/R)
  • IMN Nodes (L/R)
  • Kidney (L/R)
  • Kidney Minus Hilum (L/R)
  • LAD Artery
  • Liver
  • Lung (L/R)
  • Ribs
  • Spinal Canal
  • Spinal Cord
  • Stomach
  • Superior Vena Cava
  • Supraclavicular Nodes (L/R)
  • Trachea
Head & Neck

Head & Neck

  • Body
  • Brain
  • Brainstem
  • Cochlea (L/R)
  • Constrictor Muscle
  • Ear Internal (L/R)
  • Eye (L/R)
  • Lacrimal (L/R)
  • Larynx
  • Lens (L/R)
  • Lips
  • LN_Neck_IA
  • LN_Neck_II (L/R)
  • LN_Neck_III (L/R)
  • LN_Neck_IV (L/R)
  • LN_Neck_VIA
  • LN_Neck_VIIA (L/R)
  • LN_Neck_VIIB (L/R)
  • LN_Neck_IB-V (L/R)
  • LN_Neck_II-IV (L/R)
  • Mandible
  • Optic Chiasm
  • Optic Nerve (L/R)
  • Oral Cavity
  • Parotid (L/R)
  • Pituitary
  • Spinal Canal
  • Spinal Cord
  • Submandibular (L/R)
  • Thyroid


  • Bladder
  • Body
  • Bowel Bag
  • Cauda Equina
  • Femur (L/R)
  • Femur_RTOG (L/R)
  • HDR Cylinder
  • Iliac Crest (L/R)
  • Iliac Marrow (L/R)
  • Pelvic Lymph Nodes
  • Penile Bulb
  • Prostate
  • Rectum
  • Seminal Vesicles
MR Brains

MR Brain

  • Brainstem
  • Hippocampus (L/R)
  • Optic Chiasm
  • Optic Nerve (L/R)

AutoContour models are named in accordance with AAPM TG-263 nomenclature and follows the official consensus guidelines from RTOG, NRG, and more to create consistent, high-quality contours.


  • Deformable Registration
  • Manual / Automatic Rigid Registration
  • Compatible Modalities:
    • CT-CT
    • CT-MR
    • MR-MR
  • Structure Transfer
  • DICOM Standalone Import/Export

Planning Structure Generation

Along with automatic OAR contour generation, single or multi-step boolean and geometric operations can be configured to generate additional planning structures from existing contours in one click.

  • Margins (2D/3D)
    • PTV
    • PRVs
  • Rings
    • D_2cm
    • Opt Dose Spill
    • Skin
  • Overlap
  • Combine
    • Both Lungs
  • Crop (In/Out)
    • Body-PTV
    • PTV_Eval

Streamlined Editing and Review

  • Single click structure review with automatic viewing planes alignment and scrolling
  • Template-based structure-specific zoom, W/L, and scroll speed
  • Multiple editing tools for easy contour updates: pencil, brush, multi-slice interpolation, and more

Vendor Neutral Contouring Solution

Seamless Eclipse integration (read/write) or DICOM standalone capability for any treatment planning system.

Eclipse Workflow

CT Scanner

CT or MR Scanner

Send images to Eclipse

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Launch AutoContour via Eclipse API

Right and Left Arrows


Automatically contour structures and write back to Eclipse

DICOM Workflow

CT Scanner

CT or MR Scanner

Send images to AutoContour

Right Arrow


Automatically contour structures & send to treatment planning system

Right Arrow

Treatment Planning

Import structures and start planning process

I can't believe how easy the integration was. Radformation makes the workflow amazing for REAL users like us. Plus, the contours from AutoContour are superior to anything I've seen.

AutoContour reduced required dosimetrist time by up to 1.5 hours/case for complex cases.

    AutoContour Overview

    By automatically contouring OARs and planning structures in seconds, AutoContour drastically reduces the amount of time it takes to create contours for a patient and improves contouring consistency across clinicians.

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