Auto Segmentation

Deep Learning application for automated segmentation of organs at risk (OARs) during Radiotherapy Planning.

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Key features

Time

Accelerate the RT planning workflow by automating OAR contouring.

Workflow

Seamlessly integrate¹ automated segmentation in existing RT workflow.

Consistency

Drive consistency by automating and standardizing OAR segmentation.

Alleviate the challenges of manual contouring of OARs.

Auto Segmentation is a deep learning, algorithm-based application that reads CT images acquired for radiotherapy planning and automatically identifies, contours and labels the OARs to accelerate this process and standardize its outputs.

Image gallery

See Auto Segmentation in use during Radiotherapy Planning.

Auto Segmentation output is transmitted to review workstation(s) supporting RTSS objects for review and editing, as need. Sample clinical cases are shown using the RTx commercially available workstation.