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Updated: Jan 28, 2026

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SeRL: 风格嵌入式表示学习用于从未配对的MR图像中无监督CT图像的合成

Lei You1, Hongyu Wang2, Eduardo J Matta2

  • 1School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.

Biomedical signal processing and control
|January 26, 2026
PubMed
概括

这项研究引入了一种新的风格嵌入表示学习 (SeRL) 方法,用于翻译未配对的医疗图像. 对于肝细胞癌 (HCC) 患者,SeRL有效地从磁共振 (MR) 扫描中生成高质量的计算机断层扫描 (CT) 图像.

关键词:
医学图像翻译 医学图像翻译代表性的学习学习.风格嵌入式 风格嵌入式没有监督的学习学习.

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