• Limbus Contour

    Automatic Contouring for Radiation Therapy

    Clinical grade contours backed by comprehensive research.

    Install on your existing computers. Patient data stays local and secure.

    Request Demo arrow_forward_ios See Contours
  • Clinically validated deep learning segmentation for radiotherapy

    Fast

    Scans are contoured in seconds using preferred structure set templates from planning.

    Automated

    Contours generated automatically and sent immediately to treatment planning system after each scan. Configure once, implement in workflow forever.

    Turnkey

    Extensive library of clinically validated anatomical structures ready for immediate use out of the box.

    Secure

    State of the art deep learning entirely on local computers. No cloud transfer of patient data required.

  • Limbus Contour

Full Automation

CT images processed immediately after each scan. Limbus Contour detects and applies the correct clinical template, and sends the contours to the treatment planning system for manual review.

Limbus Contour Software Automation
  • 3D Head Neck Segmentation
  • Easy to Setup

    AI contours up and running in minutes with your existing treatment planning system.

    • toggle_on

      Setup in Minutes

      Get automatic contouring up and running in less than an hour. Create Templates and customize contour metadata to match your treatment protocols. Configure Limbus Contour to detect the correct treatment site and apply the appropriate Template for planning.

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      Vendor Neutral

      Contours exported as compliant DICOM RT-Structure files. Supports a wide variety of treatment planning systems. No plug-ins or extensions needed.

    • done_all

      Supported Platforms

      Windows 10 and newer. No GPU required. One click install on an existing workstation. No cloud, no patient data privacy concerns.

Unmatched Security and Speed

Limbus Contour is the only autocontouring solution that runs entirely on your existing clinical workstations. No GPU or cloud data sharing required. Contours available in 1-3 minutes when running on a typical Intel CPU. GPU acceleration available for high-throughput use cases for even faster local contouring times.

  • Under 3 minutes

    Average contouring time on local CPU installations

  • 1 minute

    Average contouring time on local GPU installations

*Based on over 100,000 scans contoured by clinics worldwide

Expert Grade Contours

Select Scan view_list

5 - 10x faster than manual contouring

Extensive Structure Library

Limbus Contour features a large selection of organs at risk (OAR) and clincial target volume (CTV) contours that work out of the box immediately. No atlas creation or local curation of data necessary. All typical organs at risk and CTV structures included (over 110 structures).

  • Head & NeckCT


    OARs

    Body

    Bone_Mandible

    BrachialPlex_L

    BrachialPlex_R

    BrachialPlexs

    Brain

    Brainstem

    Cavity_Oral

    Clavicle_L

    Clavicle_R

    Cochlea_L

    Cochlea_R

    Esophagus

    Eye_L

    Eye_L

    Eyes

    Glnd_Lacrimal_L

    Glnd_Lacrimal_R

    Glnd_Submand_L

    Glnd_Submand_R

    Glnd_Thyroid

    Larynx

    Lens_L

    Lens_R

    Lips

    Musc_Constrict

    Musc_Sclmast_L

    Musc_Sclmast_R

    OpticChiasm

    OpticNrv_L

    OpticNrv_R

    Parotid_L

    Parotid_R

    SpinalCanal

    SpinalCord

    Skin

    CTVs

    LN_Neck_L

    LN_Neck_R

    LN_Neck_IB_L

    LN_Neck_IB_R

    LN_Neck_II_L

    LN_Neck_II_R

    LN_Neck_III_L

    LN_Neck_III_R

    LN_Neck_IV_L

    LN_Neck_IV_R

    LN_Neck_V_L

    LN_Neck_V_R

    LN_Neck_VIIAB_L

    LN_Neck_VIIAB_R

    LN_Neck_234_L

    LN_Neck_234_R

    LN_Neck_2347AB_L

    LN_Neck_2347AB_R

  • Thorax & AbdomenCT


    OARs

    A_Aorta

    A_LAD

    Body

    BrachialPlex_L

    BrachialPlex_R

    BrachialPlexs

    Breasts

    Breast_L

    Breast_R

    Bronchus

    Chestwall

    Chestwall_L

    Chestwall_R

    Clavicle_L

    Clavicle_R

    Esophagus

    Glnd_Thyroid

    Heart

    Kidney_L

    Kidney_R

    Kidneys

    Liver

    Lung_L

    Lung_R

    Lungs

    Ribs

    Ribs_L

    Ribs_R

    Skin

    SpinalCanal

    SpinalCord

    Spleen

    Stomach

    Trachea

    V_Venacava_I

    V_Venacava_S

    CTVs

    LN_Ax_L1_L

    LN_Ax_L1_R

    LN_Ax_L2_L

    LN_Ax_L2_R

    LN_Ax_L3_L

    LN_Ax_L3_R

    LN_Ax_Sclav_L

    LN_Ax_Sclav_R

    LN_IMN_L

    LN_IMN_R

    LN_Sclav_L

    LN_Sclav_R

  • PelvisCT


    OARs

    Bladder

    Body

    Bowel

    Bowel_Bag

    Canal_Anal

    Bone_Ilium_L

    Bone_Ilium_R

    Bone_Ilium

    Femur_Head_L

    Femur_Head_R

    Femur_Heads

    Rectum

    Sacrum

    Skin

    CTVs

    LN_Pelvics

    Prostate

    Prostate + SeminalVes

    SeminalVes

    CNSMR T1 Contrast


    OARs

    Brainstem

    Eye_L

    Eye_R

    Hippocampus_L

    Hippocampus_R

    Optics

    Combine structures to match your clinical protocols exactly.

    All structures work on full body and across different anatomic sites.

    Many more contours and modalities to come; click Here to request more info

Clinical Target Volumes

Clinically validated CTVs to speed up the treatment planning process. Elective nodal CTVs across a variety of treatment sites. Configure Limbus Contour to export every 2nd, 3rd, or nth slice to speed up manual adjustments and review.

CTV nomenclature for structures refers to the tissue surrounding regions of interest for lymph nodes and other non-tumor target anatomy. Limbus Contour is not intended to automatically contour tumors or tumor clinical target volumes

  • Head / Neck
  • Breast
  • Pelvis
    • Head and Neck


      Elective Neck Lymph Node CTV

      Choose from a combined structure volume including level IB, II, III, IV, V, VIIa/b. Or choose individual split sub-levels.

      • circleLN_Neck_IB

        circleLN_Neck_II

        circleLN_Neck_III

        circleLN_Neck_IV

        circleLN_Neck_V

        circleLN_Neck_VIIAB

        circleLN_Neck_234

        circleLN_Neck_2347AB

        circleLN_Neck

    • CTV Head Neck
    • Breast


      Breast Regional Lymph Node CTVs

      Choose from a combined structure volume including Axillary levels I, II, III and supraclavicular lymph node regions. Or choose individual split sub-levels.

      • circleLN_Ax_L1

        circleLN_Ax_L2

        circleLN_Ax_L3

        circleLN_Sclav

        circleLN_Ax_Sclav

      Internal Mammary Lymph Node CTV (IMC)

      Spanning the first three intercostal spaces.

      • circleLN_IMN

    • CTV Breast
    • Pelvis


      Pelvis Lymph Node CTV

      Pelvis lymph node region spanning lymph nodes including obturator lymph nodes, internal and external iliac lymph nodes (cropped anteriorly at level of femoral heads) up to common iliac lymph nodes (L5/S1 region).

      • circleLN_Pelvics

      Prostate and SV

      Prostate and seminal vesicle to speed up manual prostate CTV contouring.

      • circleProstate

        circleSeminalVes

        circleProstate + SeminalVes

    • CTV Pelvis

    Continuously Improving

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    Expert Datasets

    Segmentation models are trained on large datasets which have been meticulously reviewed by experts and standardized to meet contouring guidelines.

  • local_hospital

    Clinically Driven

    External testing and continuous prospective clinical evaluation ensures each organ model is reliable.

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    Better with Time

    AI contours undergo routine clinical evaluation and re-training to fine tune and improve models over time. New structures are added regularly.

What our users are saying

Tens of thousands of treatments have been planned using Limbus Contour. Here’s what clinicians have to say:

  • "We aim to deliver radiotherapy treatments in the shortest timeframe possible. At the same time, radiotherapy is evolving rapidly with Adaptive treatment, Hypofractionation, and SABR which require very accurate structure definition and thus thinner slices. This increases the required time for contouring, placing more pressure on staffing resources and workflow. AI based algorithms offer great potential to reduce this pressure.

    From our initial investigation, Limbus Contour is providing excellent results for multiple sites. For example, within minutes we can create the main contours required for a prostate treatment. After reviewing numerous cases we have found that the contours produced required very minimal editing. This allows us to very significantly decrease the amount of time required before starting the planning stage.

    The software is very easy to setup and straightforward to use. We have also found the Limbus team extremely responsive to our requests with excellent support, even though we are very far away and in a completely different time zone."

    Jerome Gastaldo - Chief Physicist

    St. Georges Cancer Center

  • "We have been impressed by the quality of the contouring produced by Limbus Contour, its low hardware requirements, speed, customisation and automation options. The application is not reliant on the cloud, which is advantageous for Information Governance and IT security requirements.

    In our dealings with Limbus AI, they have been helpful, supportive and responsive. Informal feedback has seen the speedy development of anatomy models as well as improved functionality. As a result of a successful trial and evaluation, our centre is now using this system in routine clinical practice for all patients."

    Simon Coughlan - Principal Dosimetrist

    Royal Devon and Exeter NHS Foundation Trust

  • "We initially started using Limbus Contour within a research project, and have since fully integrated the software into our clinical workflow. We appreciate the flexibility of the software, which does not upload any patient data, and can be easily modified to suit local needs.

    Most importantly, however, I have been impressed by the high quality of the AI-generated contours, which usually require very little manual correction, if any. Limbus Contour has therefore made a big difference for our team, both in terms of the daily workload, as well as the consistency of contouring for various tumor sites."

    Tobias Finazzi - Radiation Oncologist

    Universitätsspital Basel

Research

Performance backed by leading research. Limbus AI is committed to proving the value of AI in medicine through published peer reviewed research.

International Journal of Environmental Research and Public Health

April 11, 2022New

Clinical Validation of a Deep-Learning Segmentation Software in Head and Neck: An Early Analysis in a Developing Radiation Oncology Center

"Our results suggest that AC could become a useful time-saving tool to optimize workload and resources in RT departments."

View Publicationlibrary_books

British Institute of Radiology - AI in Practice 2022 Meeting

March 17, 2022New

Qualitative Evaluation of Auto-segmented Structures for Radiotherapy Planning Using Peer Review Guidelines

"Reviewers found that 70.3% of the structure sets required none, or “minor” modification. Looking at the OaRs in isolation, then the percentage of structure sets requiring “minor” or no modification rises to 95.2."

View Publicationlibrary_books

Radiation Oncology (Open Access Journal)

June 08, 2021

Implementation of Deep Learning-Based Auto-Segmentation for Radiotherapy Planning Structures: A Multi-Center Workflow Study

Recipient of CARO 2020 Award for Best Abstract in Science and Applied Technology

View Publicationlibrary_books

Frontiers in Oncology

June 07, 2021

Training and Validation of Deep Learning-Based Auto-Segmentation Models for Lung Stereotactic Ablative Radiotherapy Using Retrospective Radiotherapy Planning Contours

View Publicationlibrary_books

Radiotherapy & Oncology (Green Journal)

March 01, 2020

Comparing deep learning-based auto-segmentation of organs at risk and clinical target volumes to expert inter-observer variability in radiotherapy planning

View Publicationlibrary_books

Practical Radiation Oncology

June 27, 2020

Clinical evaluation of deep learning and atlas based auto-contouring of bladder and rectum for prostate radiotherapy

View Publicationlibrary_books

ASTRO 2020 and CARO 2020

  • Applications of Deep Learning for Automatic Contouring of Tumors in the Brain

    Recipient of CARO 2020 Award for Abstracts Submitted by the Medical Student Research and Mentorship Awardees

  • Deep Learning-based Auto-Segmentation for Pelvic Organs at Risk and Clinical Target Volumes in Intracavitary High Dose Rate Brachytherapy

    View Abstractlibrary_books

ASTRO 2019

  • Comparing Deep Learning-based Auto-segmentation of Organs at Risk and Clinical Target Volumes to Expert Inter-Observer Variability in Radiotherapy Planning

    View Abstractlibrary_books
  • Validation of Deep Learning-based Auto-Segmentation for Organs at Risk and Gross Tumor Volumes in Lung Stereotactic Body Radiotherapy

    View Abstractlibrary_books
  • Automatic Deep Learning-based Segmentation of Brain Metastasis on MPRAGE MR Images for Stereotactic Radiotherapy Planning

    View Abstractlibrary_books