Robotics & Machine Learning Daily News2024,Issue(Nov.29) :56-56.

Capital Medical University Researchers Add New Findings in the Area of Artificia l Intelligence (Comparison of different acceleration factors of artificial intel ligence-compressed sensing for brachial plexus MRI imaging: scanning time and im age ...)

首都医科大学的研究人员在人工智能领域增加了新的发现(臂丛MRI成像人工智能压缩感知不同加速因子的比较:扫描时间和IM年龄...)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :56-56.

Capital Medical University Researchers Add New Findings in the Area of Artificia l Intelligence (Comparison of different acceleration factors of artificial intel ligence-compressed sensing for brachial plexus MRI imaging: scanning time and im age ...)

首都医科大学的研究人员在人工智能领域增加了新的发现(臂丛MRI成像人工智能压缩感知不同加速因子的比较:扫描时间和IM年龄...)

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摘要

由一名新闻记者-机器人与机器学习日报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。根据消息来源NewsRx编辑在首都医科大学发表的研究报告称,“臂丛神经三维MRI扫描”由于扫描时间过长,容易导致检查失败,导致患者不适和不适运动伪影。我们的目的是探讨人工智能辅助压缩的效果传感(ACS)在提高加速效率和保持或提高图像质量中的应用臂丛MR成像"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news originatingfrom Capital Medical University by NewsRx editors, the research stated, “3D brachial plexus MRI scanningis pro ne to examination failure due to the lengthy scan times, which can lead to patie nt discomfort andmotion artifacts. Our purpose is to investigate the efficacy o f artificial intelligence-assisted compressedsensing (ACS) in improving the acc eleration efficiency and maintaining or enhancing the image quality ofbrachial plexus MR imaging.”

Key words

Capital Medical University/Artificial I ntelligence/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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