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Updated: Jun 5, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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利用深度转移学习和可解释的AI进行准确的COVID-19诊断:来自多国胸部CT扫描研究的见解

Nhat Truong Pham1, Jinsol Ko2, Masaud Shah3

  • 1Department of Integrative Biotechnology, College of Biotechnology and Bioengineering, Sungkyunkwan University, Suwon, 16419, Gyeonggi-do, Republic of Korea.

Computers in biology and medicine
|December 4, 2024
PubMed
概括

这项研究介绍了XCT-COVID,这是一种使用深度转移学习的新型框架,用于在胸部CT扫描中准确检测COVID-19. 它确保了可解释性和可重现性,在各种数据集上表现优于现有的方法.

关键词:
发现COVID-19的检测方法胸部电脑断层扫描扫描扫描计算机断层扫描.卷积神经网络是一种卷积神经网络.深度转移学习是指深度转移学习.可解释的人工智能超参数优化超参数优化

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