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Updated: Jan 29, 2026

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在LDCT成像中的Voxel正常化:其在肺结节恶性疾病分类的纹理特征选择中的意义:来自两个中心的见解

Chen-Hao Peng1,2, Jhu-Fong Wu3, Chu-Jen Kuo3

  • 1Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung 404328, Taiwan.

Diagnostics (Basel, Switzerland)
|January 28, 2026
PubMed
概括

沃克塞尔正常化提高了肺结节分类的准确性和跨数据集的特征一致性. 一种新的快速里埃转换方法为肺结节分析提供可解释的深度学习.

关键词:
汽车轮融合汽车轮融合计算机辅助诊断是指计算机辅助的诊断.深度学习是一种深度学习.肺部结节 肺部结节机器学习是机器学习.

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