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Updated: Jul 2, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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探索深度COVID-19分类的解释性技术,使用胸部X射线图像进行分类

Soumick Chatterjee1,2,3, Fatima Saad4,5, Chompunuch Sarasaen4,5,6

  • 1Data and Knowledge Engineering Group, Otto von Guericke University, 39106 Magdeburg, Germany.

Journal of imaging
|February 23, 2024
PubMed
概括

深度学习模型从胸部X射线中准确诊断了COVID-19,一个组合模型获得了F1得分0.89. 解释性分析显示ResNet模型为诊断决策提供了最清晰的见解.

关键词:
在 COVID-19 疫情中,胸部X射线 胸部X射线深度学习是一种深度学习.解释性分析 解释性分析模型组合 模型组合 模型组合多个标签的图像分类.肺炎是一种肺炎.

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