A Novel Approach Based on Spatio-temporal Features and Random Forest for Scar Detection Using Cine Cardiac Magnetic Resonance Images.
Sara MocciaAlessandro CagnoliChiara MartiniGiuseppe MoscogiuriMauro PepiEmanuele FrontoniGianluca PontoneEnrico Gianluca CaianiPublished in: CinC (2020)
Keyphrases
- magnetic resonance images
- random forest
- mr images
- mr imaging
- myocardial infarction
- random forests
- medical images
- manual segmentation
- decision trees
- left ventricle
- mri images
- myocardial motion
- magnetic resonance
- short axis
- mri data
- left ventricular
- white matter
- magnetic resonance imaging
- brain tissue
- feature set
- high resolution
- multi label
- medical imaging
- diffusion tensor
- brain tumors
- diffusion weighted
- patient specific
- coronary artery
- wall motion
- ensemble methods
- data sets
- image analysis
- machine learning
- learning algorithm
- similarity measure
- training samples
- fully automatic