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
- coronary artery
- palliative care
- percutaneous coronary intervention
- coronary artery bypass grafting
- computed tomography
- left ventricular
- cardiovascular disease
- aortic valve
- atrial fibrillation
- acute coronary syndrome