AutoContour Model RADAC V2

“As with AutoContour RADAC, the AutoContour RADAC V2 device is software that uses DICOM-compliant image data (CT or MR) as input to (1) automatically contour various structures of interest for radiation therapy treatment planning using machine learning based contouring.”

“The deep-learning based structure models are trained using imaging datasets consisting of anatomical organs of the head and neck, thorax, abdomen and pelvis for adult male and female patients.(2) allow the user to review and modify the resulting contours, and (3) generate DICOM-compliant structure set data the can be imported into a radiation therapy treatment planning system AutoContour RADAC V2 consists of 3 main components: 1. A.NET client application designed to run on the Windows Operating System allowing the user to load image and structure sets for upload to the cloud-based server for automatic contouring, perform registration with other image sets, as well as review, edit, and export the structure set. 2. A local "agent” service designed to run on the Windows Operating System that is configured by the user to monitor a network storage location for new CT and MR datasets that are to be automatically contoured. 3. A cloud-based automatic contouring service that produces initial contours based on image sets sent by the user from the .NET client application.”