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Updated: Jul 6, 2025

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从深度学习增强模型预测分数流量储备的综合方法

Jincheng Liu1, Bao Li1, Yang Yang1

  • 1Department of Biomedical Engineering, College of Chemistry and Life Sciences, Beijing University of Technology, Beijing, China.

Computers in biology and medicine
|January 9, 2024
PubMed
概括

一个新的深度学习模型 (DP-NN) 预测了微分流量储备 (FFR) 的非侵入性,显著减少了计算时间. 这种数据驱动和基于物理的方法为心血管疾病治疗提供了准确的血液动力学分析.

关键词:
级联神经网络是一个级联神经网络.计算式的FFR使用.冠状动脉疾病是一种冠状动脉疾病.深度学习是一种深度学习.

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