首页|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)

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)

扫码查看
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.”

Faculty of Medicine and University Hospi tal CologneCologneGermanyEuropeEmerging TechnologiesMachine LearningRoboticsRobots

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Sep.4)