Deep learning-based stenosis quantification from coronary CT angiography.
Youngtaek HongFrederic CommandeurSebastien CadetMarkus GoellerMhairi DorisXi ChenJacek KwiecinskiDaniel S. BermanPiotr J. SlomkaHyuk-Jae ChangDamini DeyPublished in: Medical Imaging: Image Processing (2019)
Keyphrases
- deep learning
- coronary artery
- coronary artery disease
- ct data
- myocardial perfusion
- computed tomography
- clinical setting
- unsupervised feature learning
- unsupervised learning
- imaging modalities
- medical images
- machine learning
- cardiovascular disease
- computed tomography angiography
- image guided
- ct images
- weakly supervised
- computer tomography
- computer aided
- medical imaging
- x ray
- graph cuts
- ct scans
- pre operative
- diagnostic process
- mental models
- image processing