Deep Learning-Based Automated Quantification of Coronary Artery Calcification for Contrast-Enhanced Coronary Computed Tomographic Angiography.
Jung Oh LeeEun Ah ParkDaebeom ParkWhal LeePublished in: Journal of cardiovascular development and disease (2023)
The deep learning-based and fully automated algorithm efficiently extracted CACs from CCTA and reliably assigned categorical classification for Agatston scores without additional radiation exposure.
Keyphrases
- deep learning
- contrast enhanced
- coronary artery
- computed tomography
- magnetic resonance imaging
- diffusion weighted
- pulmonary artery
- magnetic resonance
- convolutional neural network
- artificial intelligence
- machine learning
- diffusion weighted imaging
- optical coherence tomography
- coronary artery disease
- chronic kidney disease
- heart failure
- dual energy
- pulmonary hypertension
- high throughput
- pulmonary arterial hypertension
- aortic stenosis