Entropy-Based SVM Classifier for Automatic Detection of Motion Artifacts in Clinical MRI.
Chandrakanth Jayachandran PreethaHendrik MatternMedha JunejaJohannes VogtOliver SpeckThomas HartkensPublished in: Bildverarbeitung für die Medizin (2020)
Keyphrases
- automatic detection
- svm classifier
- motion artifacts
- motion correction
- brain imaging
- beating heart
- computer tomography
- support vector machine
- clinical applications
- magnetic resonance imaging
- mri data
- support vector machine svm
- image classification
- support vector
- human brain
- medical images
- mr imaging
- feature vectors
- magnetic resonance images
- treatment planning
- kernel function
- image analysis
- magnetic resonance
- clinical data
- optical coherence tomography
- training set
- pattern recognition
- mr images
- medical data
- dce mri
- feature space
- medical imaging
- data sets
- minimally invasive
- ct images
- intraoperative
- clinical trials
- computer aided
- respiratory motion
- anatomical structures
- medical diagnosis
- feature extraction
- knn
- image segmentation
- feature selection