AI contouring tools continue to evolve rapidly, offering opportunities to improve efficiency and consistency in radiation therapy planning. In this webinar, speakers from Radformation and McGill University will review the development and evaluation of AutoContour v2.7, which represents the integration of the AutoContour and Limbus platforms.
What You’ll Learn
- Understand how AutoContour v2.7 integrates AutoContour and Limbus, and what that means for clinical workflows
- Learn how automated contouring models are benchmarked, evaluated, and selected for real-world use
- Compare contouring outputs from Limbus and AutoContour using Zero-Click workflows and quantitative metrics
- Explore key performance considerations, including runtime, case complexity, and implementation factors
- Gain practical insights into transitioning from Limbus to AutoContour, including workflow, deployment, and efficiency impacts
Don't miss what's sure to be an informative and insightful discussion on the exciting integration of AutoContour and Limbus Contour - register now!
