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使用新的深度学习框架在X射线图像中进行有效的COVID-19分类

P Thilagavathi1, R Geetha2, S Jothi Shri3

  • 1Department of Computer Science and Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Mission & Research Foundation(DU) Paiyanoor, Chennai, Tamil Nadu, India.

Journal of X-ray science and technology
|February 20, 2025
PubMed
概括

这项研究引入了一种新的混合深度学习方法,用于诊断肺部疾病,包括COVID-19,使用人工智能 (AI) 对胸部X射线图像. 该方法实现了高分类准确性,优于现有的快速可靠的疾病识别技术.

关键词:
适应性优化适应性优化在 COVID-19 疫情中,多头注意力注意力注意力斯帕尔斯自动编码器适应性过是一种自适应性过.特性提取过程 特性提取过程混合深度学习是混合深度学习.损失功能的优化优化损失功能的优化.优化了功能,优化了功能.

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