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Updated: Jun 9, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

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综合组合CNN和可解释的AI用于CT扫描和X射线图像的COVID-19诊断

Reenu Rajpoot1, Mahesh Gour2, Sweta Jain2

  • 1Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, 462003, India. rajputreenu@gmail.com.

Scientific reports
|October 24, 2024
PubMed
概括

这项研究使用可解释的AI和整体深度学习模型,提高了X射线和CT扫描中的COVID-19检测,实现了高准确性和可解释性,以获得更好的临床接受.

关键词:
在 COVID-19 疫情中,图像来自CT扫描.胸部X射线图像 胸部X射线图像卷积神经网络 (CNN) 是一种神经网络.深度学习是一种深度学习.合唱团组合在一起.可解释的人工智能

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