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Updated: Jul 6, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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评估深度学习模型对胸部X射线图的COVID-19分类:图像采集技术和临床因素之间的比较

Mena Shenouda1, Isabella Flerlage2, Aditi Kaveti3

  • 1The University of Chicago, Committee on Medical Physics, Department of Radiology, Chicago, Illinois, United States.

Journal of medical imaging (Bellingham, Wash.)
|January 1, 2024
PubMed
概括

一个深度学习模型在较新的数据集上从胸部X射线中对COVID-19进行分类时表现较差. 病毒变异和疫苗接种状况等因素不能完全解释精度的下降,这表明潜在的过拟合.

关键词:
在 COVID-19 疫情中,胸部X射线扫描 胸部X射线扫描深度学习是一种深度学习.可以概括的概括性.

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