• Limbus Contour

    Clinically validated AI contours for any radiotherapy workflow

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      Automated

      Contours generated automatically and sent immediately to planning system after each scan

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      Turnkey

      Extensive library of clinically validated anatomical structures ready for immediate use

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      Fast

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

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      Secure

      State of the art deep learning on local computers; no cloud transfer of patient data

  • Contour

Organs at Risk

Extensive library of organs and clinical targets contoured in seconds automatically on your own local computer

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Clinical Research

Radiotherapy & Oncology (Green Journal)

    Dec 5, 2019

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

    View Paper

Practical Radiation Oncology

    June 27, 2020

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

    View Paper

ASTRO 2020

    October 25, 2020

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

    Coming Soon

    October 25, 2020

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

    Coming Soon

ASTRO 2019

    Sept 17, 2019

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

    View Abstract

    Sept 16, 2019

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

    View Abstract

    Sept 16, 2019

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

    View Abstract

The Limbus AI Team

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    Joshua Giambattista

    Medical & Research

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    Carter Kolbeck

    Machine Learning

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    Jon Giambattista

    Software

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    Karl Otto

    Medical Physics

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