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Updated: Jul 25, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

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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使用深度CResNeXt网络进行COVID-19放射性预后

Dhirendra P Yadav1, Anand Singh Jalal1, Ayush Goyal2

  • 1Department of Computer Engineering & Applications, G.L.A. University, Mathura, UP India.

Multimedia tools and applications
|June 26, 2023
PubMed
概括

一个新的CResNeXt模型从胸部X射线中准确预测COVID-19. 这种人工智能方法提供了更快的训练和更少的参数,以有效诊断病毒性肺炎.

关键词:
胸部X射线成像 胸部X射线成像新冠病毒 (COVID-19) 病毒 (COVID-19) 病毒深度学习是一种深度学习.机器学习是机器学习.放射学图像 放射学图像

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