Address: 335 Madison Avenue, 4th floor New York, NY 10017
Released:4/14/2023
Regulator:FDA
AutoContour Model RADAC V3 is an AI-enabled software designed to automatically contour anatomical structures in CT and MR images to assist radiation treatment planners in preparing radiation therapy plans more efficiently. It uses deep learning models to generate contours of organs and tumors, allowing clinicians to review and adjust as needed, which streamlines the treatment planning process and improves accuracy.
View detailsReleased:8/24/2022
Regulator:FDA
AutoContour RADAC V2 is a software tool that helps radiation treatment planners by automatically outlining anatomical structures in CT and MR images to assist in radiation therapy treatment planning. It uses machine learning models trained on large datasets to generate these contours and allows clinicians to review and modify them before exporting for use in treatment.
View detailsReleased:10/30/2020
Regulator:FDA
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.
View detailsReleased:12/9/2024
Regulator:FDA
AutoContour (Model RADAC V4) by Radformation, Inc. is a software tool designed to automatically contour anatomical structures on CT and MR images to aid radiation treatment planning. Using machine learning, it helps clinicians create accurate contours of organs and tissues, streamlining the preparation process for radiation therapy and improving planning precision.
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