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Updated: Jul 27, 2025

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
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Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

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DC-cycleGAN:从未配对的数据进行双向CT-to-MR合成

Jiayuan Wang1, Q M Jonathan Wu1, Farhad Pourpanah2

  • 1Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
|June 8, 2023
PubMed
概括

这项研究介绍了DC-cycleGAN,这是一种新的模型,用于从未配对的数据中合成医学图像,如MRI和CT扫描. 该方法通过确保合成图像与源数据有所不同来提高图像质量,从而提高诊断准确度.

关键词:
计算机断层扫描图像的图像.循环的一致性损失.生成性的对抗性网络.磁共振是一种磁共振.医学图像合成 医学图像合成

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