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Updated: Sep 16, 2025

In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
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In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography

Published on: February 16, 2016

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基于知识的解释性条件扩散模型,用于无对比的心肌梗塞增强合成

Ronghui Qi1, Min Tao2, Chenchu Xu3

  • 1School of Computer Science and Technology, Anhui University, Hefei, China.

Medical image analysis
|July 11, 2025
PubMed
概括

这项研究引入了一种新的AI模型,用于在没有对比剂的情况下创建心脏病发作的医疗图像. 该模型通过提高图像合成质量和可解释性来提高诊断准确性和患者安全性.

关键词:
心脏生理学 心脏生理学没有对比的技术无对比技术.反事实干预是一种反事实干预.扩散模型是一个扩散模型.

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