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Updated: Jan 15, 2026

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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用胸部X射线图像进行COVID-19,结核和肺炎分类的多类深度学习架构

Sameer Srivastava1, Eshanee Ghosh1, Abhinav Kumar1

  • 1School of Computing Science Engineering and Artificial Intelligence, VIT Bhopal University, Bhopal-Indore Highway, Kothrikalan, Sehore, 466114, Madhya Pradesh, India.

Journal of medical imaging and radiation sciences
|October 9, 2025
PubMed
概括

这项研究开发了一个使用胸部X射线检测COVID-19,结核病和肺炎的深度学习模型. VGG-19模型的准确性达到了97.5%,为改善肺病诊断提供了潜在的可能性.

关键词:
在美国,CNN是CNN.在 COVID-19 疫情中,分类 分类 分类 分类.数据增强数据增强肺炎是一种肺炎.结核病是一种疾病.一些X射线图像.

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