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Updated: Jan 17, 2026

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在螺旋CT中基于深度学习的兴趣成像的体积,以改善图像质量和减少辐射剂量

Zhongxing Zhou1, Akitoshi Inoue1, Christian W Cox2

  • 1Department of Radiology, Mayo Clinic, Rochester, MN 55905, United States.

The British journal of radiology
|September 19, 2025
PubMed
概括

本研究介绍了VOI-Net,这是用于螺旋CT扫描的深度学习方法. 它可以显著减少71%的辐射剂量或在感兴趣的体积 (VOI) 中提高图像质量.

关键词:
深度学习是一种深度学习.螺旋式CTCT可以使用.高分辨率低噪音的高分辨率利息的数量是多大的.

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