Deep Learning-based Automated Segmentation of Left Ventricular Trabeculations and Myocardium on Cardiac MR Images: A Feasibility Study.
Axel BartoliJoris FournelZakarya BentatouGilbert HabibAlain LalandeMonique BernardLoïc BousselFrançois PontanaJean Nicolas DacherBadih GhattasAlexis Raymond Robert JacquierPublished in: Radiology. Artificial intelligence (2020)
Automated deep learning framework can achieve reproducible and quality-controlled segmentation of cardiac trabeculations, outperforming inter- and intraobserver analyses.Supplemental material is available for this article.© RSNA, 2020.
Keyphrases
- deep learning
- left ventricular
- convolutional neural network
- artificial intelligence
- machine learning
- hypertrophic cardiomyopathy
- heart failure
- acute myocardial infarction
- cardiac resynchronization therapy
- left atrial
- mitral valve
- aortic stenosis
- magnetic resonance
- quality improvement
- computed tomography
- contrast enhanced
- coronary artery disease
- high throughput
- aortic valve