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Updated: May 10, 2025

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与视觉转换器模型集成的元启发式优化器,通过多式联络COVID-19图像进行严重性检测和分类

V Padmavathi1, Kavitha Ganesan2

  • 1Department of Biomedical Engineering, CEG Campus, Anna University, Chennai, 600025, India.

Scientific reports
|April 22, 2025
PubMed
概括

一个新的混合AI框架准确地从X射线和CT扫描中分类COVID-19的严重程度. 这种先进的模型,使用视觉转换器和优化,为自动疾病检测提供了一个可扩展的解决方案.

关键词:
根据COVID-19的严重程度分类胸部X射线 (CXR) 和CT成像灰狼优化器 (GWO) 是一个软件.混合视觉变压器 (ViT) 模型多阶段分类框架 多阶段分类框架粒子集群优化 (PSO) 是一个

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