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Updated: May 28, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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基于胸部CT的机器学习方法,用于预测COVID-19相关的肺阿斯伯吉洛症风险

Jiahao Liu1, Juntao Zhang2, Huaizhen Wang3

  • 1Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China (J.L., H.W., L.W., J.C., M.L., Q.Z.); Shandong First Medical University, Jinan, China (J.L., M.L., S.W.).

Academic radiology
|February 11, 2025
PubMed
概括

整合胸部CT扫描和临床数据的新机器学习模型准确地预测了住院COVID-19患者的二次阿斯伯吉勒斯感染,改善了风险评估.

关键词:
在 COVID-19 疫情中,与COVID-19相关的肺性阿斯伯吉洛症.计算机断层扫描 (CT) 是一种计算机断层扫描.侵袭性肺部阿斯伯吉洛症机器学习是机器学习.这个名字是名ogramogram.无线电学 (Radiomics) 是一种无线电学.

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