Support vector machine (SVM) active learning for automated Glioblastoma segmentation.
Po SuZhong XueLinda ChiJianhua YangStephen T. WongPublished in: ISBI (2012)
Keyphrases
- support vector machine svm
- active learning
- automated segmentation
- svm classifier
- medical images
- segmentation algorithm
- multiscale
- level set
- fully automatic
- support vector machine
- segmentation method
- pattern recognition
- generalization ability
- semi automated
- segmentation accuracy
- feature extraction
- k nearest neighbor
- region growing
- learning algorithm
- active learning strategies
- experimental design
- automated analysis
- data sets
- learning strategies
- relevance feedback
- image registration
- training set
- image regions
- active contours
- shape prior
- object segmentation
- magnetic resonance imaging
- image analysis
- image segmentation
- svm classification
- fully unsupervised
- image processing
- selective sampling
- machine learning