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Updated: Jul 24, 2025

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
04:40

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans

Published on: August 28, 2018

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基于深度学习的预测,在无症状人群的冠状动脉计算机断层扫描血管学上对显著的冠状动脉狭窄进行预测

Heesun Lee1, Bong Gyun Kang2, Jeonghee Jo3

  • 1Department of Internal Medicine, School of Medicine, Seoul National University, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Republic of Korea.

Frontiers in cardiovascular medicine
|July 7, 2023
PubMed
概括

深度学习模型可以使用冠状动脉计算机断层扫描血管学 (CCTA) 预测无症状个体的显著冠状动脉狭窄. 该工具有助于识别那些最能从CCTA查中受益的人,改善心血管疾病风险评估.

关键词:
计算机断层扫描血管学冠状动脉疾病是一种冠状动脉疾病.冠状动脉狭窄症 冠状动脉狭窄症深度学习是一种深度学习.诊断查计划 诊断查计划神经网络的神经网络的神经网络

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