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Updated: Sep 13, 2025

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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通过未开发但优化的微调的ConvNeXt模型进行可解释的临床诊断,以准确地分类麻疹疾病

Muhammad Waqar1, Zeshan Aslam Khan1, Shanzey Tariq Khawaja2

  • 1International Graduate Institute of Artificial Intelligence, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliu, Yunlin 64002, Taiwan, R.O.C, Taiwan.

SLAS technology
|July 25, 2025
PubMed
概括

这项研究使用ConvNeXt模型的转移学习来准确地从图像中检测水,达到99.9%的准确性. 这种人工智能方法为公共卫生专业人员提供了实用,高效的解决方案.

关键词:
接下来我们来谈谈一下.卷积神经网络是一种卷积神经网络.可解释的人工智能的水病是一种疾病.转移学习转移学习

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