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使用基于传输电子显微镜图像的功能深度学习模型进行异质病毒分类

Niloy Sikder1,2, Md Al-Masrur Khan3, Anupam Kumar Bairagi4

  • 1Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.

Scientific reports
|November 23, 2024
PubMed
概括

本研究介绍了一种深度学习模型,用于使用传输电子显微镜图像快速识别病毒. 该模型准确地分类了14种病毒类型,提供了快速可靠的诊断工具.

关键词:
2D离散的等号变换.生物医学图像处理 生物医学图像处理计算机辅助诊断是一种计算机辅助的诊断.功能性的CNN模型当地标准偏差过器传输电子显微镜的使用病毒图像分类 病毒图像分类

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