Active learning for magnetic resonance image quality assessment.
Annika LiebgottThomas KustnerSergios GatidisFritz SchickBin YangPublished in: ICASSP (2016)
Keyphrases
- magnetic resonance
- image quality assessment
- active learning
- mr images
- structural similarity
- quality assessment
- medical images
- image data
- image quality
- image database
- natural scene statistics
- image registration
- human visual system
- natural images
- mr imaging
- mr brain images
- correlation coefficient
- reduced reference
- human perception
- visual perception
- image slices
- machine learning
- quality measures
- image quality metrics
- kullback leibler divergence
- high quality
- image analysis
- image processing
- computer vision
- structural information
- video sequences
- quality evaluation
- pattern recognition
- magnetic resonance imaging
- natural scenes
- ground truth