An easy-to-use image labeling platform for automatic magnetic resonance image quality assessment.
Thomas KustnerPhilip WolfMartin SchwartzAnnika LiebgottFritz SchickSergios GatidisBin YangPublished in: ISBI (2017)
Keyphrases
- magnetic resonance
- image labeling
- image quality assessment
- mr images
- medical images
- image data
- image quality
- quality assessment
- image registration
- image database
- structural similarity
- human visual system
- conditional random fields
- natural images
- magnetic resonance images
- correlation coefficient
- visual perception
- quality metrics
- structured prediction
- human perception
- quality evaluation
- computer vision
- hidden markov models
- image analysis
- pairwise
- unsupervised manner
- image processing