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SqueezeViX-Net与SOAE:一种主要的深度学习框架,用于使用X射线和CT成像方式准确地分类肺炎

N Kavitha1, B Anand2

  • 1Department of Electronics and Instrumentation Engineering, Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India.

Current medical imaging
|September 15, 2025
PubMed
概括

一个新的深度学习框架,SqueezeViX-Net,使用自适应性放弃精确地分类肺炎. 这种人工智能模型在从X射线和CT扫描中识别肺炎方面表现出卓越的性能,有助于临床诊断.

关键词:
分类. 分类. 分类.计算机断层扫描 (CT) 图像深度学习是一种深度学习.医学成像医学成像优化优化 优化优化肺炎疾病检测检测肺炎疾病的检测.一个X射线图像.

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