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用不同的医学成像和咳声音对胸部疾病进行分类的多模式深度学习方法

Hassaan Malik1, Tayyaba Anees2

  • 1Department of Computer Science, School of Systems and Technology, University of Management and Technology, Lahore, Pakistan.

PloS one
|March 12, 2024
PubMed
概括

这项研究引入了新的CNN模型,用于使用X射线,CT扫描和咳声音对九种胸部疾病进行分类. 这些模型达到99.01%的准确性,超过了改善诊断的现有方法.

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