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Deep learning reconstruction for coronary CT angiography in patients with origin anomaly, stent or bypass graft.

Lihua YuYarong YuMeiling LiRunjianya LingYuehua LiAi WangXifu WangYanli SongXiao ZhangPei DongYiqiang ZhanDijia WuJiayin Zhang
Published in: La Radiologia medica (2024)
The developed DL model enabled accurate automatic CCTA reconstruction of bypass graft, stent and origin anomaly. It significantly reduced post-processing time and improved clinical workflow.
Keyphrases
  • deep learning
  • coronary artery disease
  • machine learning
  • coronary artery
  • convolutional neural network
  • artificial intelligence
  • high resolution
  • electronic health record
  • aortic stenosis
  • ejection fraction