Robotics & Machine Learning Daily News2024,Issue(Sep.4) :37-38.

Findings from Faculty of Medicine and University Hospital Cologne Advance Knowle dge in Robotics (Use of dose-area product to assess plan quality in robotic radi osurgery)

Robotics & Machine Learning Daily News2024,Issue(Sep.4) :37-38.

Findings from Faculty of Medicine and University Hospital Cologne Advance Knowle dge in Robotics (Use of dose-area product to assess plan quality in robotic radi osurgery)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on robotics have been pr esented. According to news originating fromCologne, Germany, by NewsRx correspo ndents, research stated, “In robotic stereotactic radiosurgery(SRS), optimal se lection of collimators from a set of fixed cones must be determined manually by trial anderror. A unique and uniformly scaled metric to characterize plan quali ty could help identify Pareto-efficienttreatment plans.”

Key words

Faculty of Medicine and University Hospi tal Cologne/Cologne/Germany/Europe/Emerging Technologies/Machine Learning/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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