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Updated: Jul 15, 2025

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深度学习重建在低剂量计算机断层扫描中的影响对间歇性肺病的评估

Chu Hyun Kim1,2, Myung Jin Chung2,3, Yoon Ki Cha2

  • 1Center for Health Promotion, Samsung Medical Center, Seoul, Republic of Korea.

PloS one
|September 27, 2023
PubMed
概括

深度学习模型重建 (DLM) 显著提高低剂量计算机断层扫描 (LDCT) 图像质量,用于间歇性肺病 (ILD) 诊断. 与传统方法相比,DLM显示信号噪声比改善,噪声减少,有助于准确诊断.

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