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从呼吸声数据库 (声信号) 检测肺部异常

Jawad Ahmad Dar1, Kamal Kr Srivastava2, Alok Mishra3

  • 1Department of Computer Science and Engineering, Mansarovar Global University, Madhya Pradesh, India.

Computers in biology and medicine
|August 8, 2023
PubMed
概括

这项研究引入了一种先进的AI模型,即基于 Fractional Water Cycle Swarm Optimizer的深度残留网络 (基于Fr-WCSO的DRN),用于从呼吸声中准确检测肺部异常. 这种新方法显著提高了肺部疾病的诊断准确性,有助于早期发现和治疗.

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