Automatic assessment of mitral regurgitation severity based on extensive textural features on 2D echocardiography videos.
Hanie MoghaddasiSaeed NourianPublished in: Comput. Biol. Medicine (2016)
Keyphrases
- automatic assessment
- textural features
- mitral valve
- automatic analysis
- patient specific
- quantitative evaluation
- texture analysis
- cardiac cycle
- gray level
- local binary pattern
- programming course
- video frames
- beating heart
- subject specific
- texture features
- visual inspection
- pixel classification
- motion analysis
- video sequences
- multiresolution
- machine learning
- image segmentation
- open source
- motion compensation
- programming assignments
- computer vision