Deep Learning-Based Lumen and Vessel Segmentation of Intravascular Ultrasound Images in Coronary Artery Disease.
Gyu-Jun JeongGaeun LeeJune Goo LeeSoo-Jin KangPublished in: Korean circulation journal (2023)
The deep learning models can accurately and quickly delineate vascular geometry. The artificial intelligence-based methodology may support clinicians' decision-making by real-time application in the catheterization laboratory.
Keyphrases
- deep learning
- artificial intelligence
- coronary artery disease
- ultrasound guided
- convolutional neural network
- decision making
- big data
- machine learning
- magnetic resonance imaging
- palliative care
- coronary artery
- percutaneous coronary intervention
- cardiovascular events
- coronary artery bypass grafting
- heart failure
- type diabetes
- cardiovascular disease
- computed tomography
- atrial fibrillation
- contrast enhanced ultrasound