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Updated: Jun 5, 2025

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
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Published on: April 12, 2024

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评估吸入式CT,呼吸式CT和临床数据对COPD诊断和通过深度学习进行分期的累积益处

Amanda N Lee1, Albert Hsiao1, Kyle A Hasenstab1

  • 1From the Computational Science Research Center, San Diego State University, San Diego, Calif (A.N.L.); Department of Radiology, University of California San Diego, La Jolla, Calif (A.H.); and Department of Mathematics and Statistics, San Diego State University, 5500 Campanile Dr, San Diego, CA 92182 (K.A.H.).

Radiology. Cardiothoracic imaging
|December 12, 2024
PubMed
概括

使用单相CT扫描和临床数据的卷积神经网络 (CNN) 模型准确地确定慢性阻塞性肺病 (COPD) 的阶段,与多相CT相比. 这种方法提高了COPD诊断和严重程度的分期,以更好地管理患者.

关键词:
注意地图 注意地图这就是为什么CTCTCTCTCTCT慢性阻塞性肺病 慢性阻塞性肺病卷积神经网络是一个卷积神经网络.严重程度分阶段进行.

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