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Updated: Jun 7, 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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通过使用q-转换模型来提取特征来有效地分类COVID-19CT扫描

Razi J Al-Azawi1, Nadia M G Al-Saidi2, Hamid A Jalab3

  • 1Department of Laser and Optoelectronics Engineering, University of Technology, University of Technology, Baghdad, Iraq, Iraq.

PeerJ. Computer science
|November 15, 2024
PubMed
概括

这项研究引入了一种高效的CT扫描算法用于COVID-19分类,通过分析肺部图像来实现高准确性来区分阳性和阴性病例. 该方法为现实世界的医疗应用提供了灵活而准确的解决方案.

关键词:
在 COVID-19 疫情中,电脑图像扫描 (CT) 扫描分类 分类 分类 分类.功能提取 功能提取功能减少 功能减少机器学习 机器学习支持矢量机器的支持矢量机器.k-最近的邻居在q-转换过程中.

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