New Findings from Federal University Goias in Machine Learning Provides New Insi ghts (Chest X-ray Evaluation Using Machine Learning To Support the Early Diagnos is of Pulmonary Tb)

联邦大学Goias在机器学习方面的新发现提供了新的思路(使用机器学习支持肺结核早期诊断的胸部x射线评估)

Robotics & Machine Learning Daily News2024，Issue(Jun.14) ：114-114.

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New Findings from Federal University Goias in Machine Learning Provides New Insi ghts (Chest X-ray Evaluation Using Machine Learning To Support the Early Diagnos is of Pulmonary Tb)

联邦大学Goias在机器学习方面的新发现提供了新的思路(使用机器学习支持肺结核早期诊断的胸部x射线评估)

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摘要

由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。根据来自巴西戈尼亚尼亚的新闻报道，BY NewsRx记者说，“结核病是一个公共卫生问题，它的诊断可能具有挑战性。在影像学方法中，胸部x线(CXR)是评估肺结核(PTB)的首选方法。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating from Goiania, Brazil, b y NewsRx correspondents, research stated, “TB is a public health problem, and it s diagnosis can be challenging. Among imaging methods, chest X-ray (CXR) is the leading choice for assessing pulmonary TB (PTB).”

Key words

Goiania/Brazil/South America/Cyborgs/Emerging Technologies/Machine Learning/Federal University Goias

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出版年

2024

Robotics & Machine Learning Daily News

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