Robotics & Machine Learning Daily News2024,Issue(Jun.21) :27-28.

New Machine Learning Study Results Reported from University Putra Malaysia (The impact of the combat method on radiomics feature compensation and analysis of sc anners from different manufacturers)

马来西亚普特拉大学最新机器学习研究结果(战斗方法对放射组学特征补偿的影响及不同制造商供应链人员的分析)

Robotics & Machine Learning Daily News2024,Issue(Jun.21) :27-28.

New Machine Learning Study Results Reported from University Putra Malaysia (The impact of the combat method on radiomics feature compensation and analysis of sc anners from different manufacturers)

马来西亚普特拉大学最新机器学习研究结果(战斗方法对放射组学特征补偿的影响及不同制造商供应链人员的分析)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑-每日新闻-一项关于人工智能的新研究现在可用。根据NewsRx记者从马来西亚大学的新闻报道,研究表明:“这项研究调查了Combat补偿方法是否可以消除来自不同扫描仪的辐射特征的变异性,”从西门子、飞利浦和通用电气公司生产的三台扫描仪上采集和筛选了135张Credence Cart Ridge放射体模型的CT图像。本研究的资助者包括承德医科大学项目;河北省引进归国华侨学者项目;承德生物医药工业研究所项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on artificial intelligence is now available. According to news reporting from the University Putra Malaysi a by NewsRx journalists, research stated, "This study investigated whether the C ombat compensation method can remove the variability of radiomic features extrac ted from different scanners, while also examining its impact on the subsequent p redictive performance of machine learning models. 135 CT images of Credence Cart ridge Radiomic phantoms were collected and screened from three scanners manufact ured by Siemens, Philips, and GE." Funders for this research include Chengde Medical University Project; Hebei Prov ince Introduced Returned Overseas Chinese Scholars Funding Project; Chengde Biom edicine Industry Research Institute Funding Project.

Key words

University Putra Malaysia/Cyborgs/Emer ging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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