AutoContour is a software tool that helps radiation treatment planners automatically contour and review anatomical structures in medical images, primarily CT scans, to prepare for radiation therapy treatment planning. It uses cloud-based machine learning algorithms to produce initial contours, and provides a web interface for review and editing, enhancing efficiency and accuracy for clinicians.
AutoContour is intended to assist radiation treatment planners in contouring and reviewing structures within medical images in preparation for radiation therapy treatment planning.
AutoContour consists of three components: a Windows agent service that uploads CT datasets to a cloud-based automatic contouring service using machine learning algorithms, and a web application for manual registration, review, and editing of contours. It supports CT imaging modalities primarily, with MR and PET inputs for registration only, producing DICOM RTSTRUCT output for radiation therapy planning.
No clinical trials were conducted; performance was validated using verification and validation tests including testing with independent datasets to demonstrate accuracy and generalizability of the machine learning model, ensuring that the software performs as intended with pass/fail criteria.
No predicate devices specified
Submission
2/10/2020
FDA Approval
10/30/2020
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