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Updated: Jul 15, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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Published on: December 19, 2020

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TVFx - 使用基于神经网络的特征值技术的COVID-19X射线图像分类方法

Syed Thouheed Ahmed1,2, Syed Muzamil Basha2, Muthukumaran Venkatesan3

  • 1Department of Electrical Engineering, Indian Institute of Technology, Hyderabad., Hyderabad, India.

BMC medical imaging
|October 2, 2023
PubMed
概括

这项研究引入了一种新的胸部X射线分类方法,使用基于值的特征提取来识别COVID-19的严重程度. 该技术准确地将COVID-19病例分为轻度,严重和极端,达到97.42%的准确性.

关键词:
在 COVID-19 疫情中,发现COVID-19的检测方法冠状病毒分类 冠状病毒分类功能调整对齐是什么意思X射线图像分类X射线图像分类

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German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
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Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
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