End-to-end deep-learning model for the detection of coronary artery stenosis on coronary CT images

End-to-end deep-learning model for the detection of coronary artery stenosis on coronary CT images

Purpose We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe (≥70%) stenosis in the left anterior descending artery (LAD), right coronary artery (RCA) or left circumflex artery (LCX) in iodine contrast-enhanced ECG-gated coronary CT angiography (CCTA) scans.Meth...

Full description

Bibliographic Details
Main Authors: Truls Råmunddal, Naveed Sattar, Erik Andersson, Kristofer Skoglund, Araz Rawshani, Göran Bergström, Deepak L Bhatt, Elmir Omerovic, Oskar Angerås, Bjorn Redfors, Jan Borén, Petur Petursson, Aidin Rawshani, Lukas Hilgendorf, Vibha Gupta, Gustav Smith, Carlo Pirazzi
Format: Article
Language:English
Published: BMJ Publishing Group 2025-01-01
Series:Open Heart
Online Access:https://openheart.bmj.com/content/12/1/e002998.full

Internet

https://openheart.bmj.com/content/12/1/e002998.full

Similar Items