Radformation provides AI-driven automation solutions for radiation therapy, integrating the AutoContour platform to deliver fast, deep‑learning segmentation that generates clinical‑grade contours in seconds and automatically transfers them to treatment planning systems.
Funding
Funding not disclosed
Founders
Product
Problem
Radiation therapy planning requires manual contouring of anatomical structures, a time‑consuming process that depends on expert input and can delay treatment initiation. Variability in contour quality and the need to transfer patient data to external services raise concerns about consistency and data security.
Solution
Radformation’s Limbus Contour platform delivers AI‑driven, deep‑learning segmentation that generates clinical‑grade contours within seconds. The software runs on the clinic’s existing workstations, keeping all patient data on‑premises and eliminating cloud transfers. Once configured, the system automatically applies the appropriate structure set template to each CT scan, creates the contours, and transfers them directly to the treatment planning system for immediate review. This turnkey solution streamlines the workflow, reduces manual effort, and maintains consistent contour quality across cases.
Target Audience
Primary users are radiation oncology departments and medical physicists who need fast, reliable contouring for CT‑based treatment planning.
Features
- Deep‑learning models that produce anatomically accurate contours in seconds using pre‑validated structure set templates
- Automatic detection of the correct clinical template for each scan and immediate export of contours to the treatment planning system
- Local‑only deployment on existing computers, ensuring patient data never leaves the facility
- Extensive library of clinically validated anatomical structures available out of the box
- One‑time configuration that integrates continuously into the radiotherapy workflow without ongoing manual setup