Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation.
Jonathan H. MorraZhuowen TuLiana G. ApostolovaAmity E. GreenArthur W. TogaPaul M. ThompsonPublished in: IEEE Trans. Medical Imaging (2010)
Keyphrases
- support vector
- learning machines
- large margin classifiers
- image segmentation
- kernel function
- cross validation
- segmentation algorithm
- medical images
- level set
- feature selection
- automated segmentation
- multi class
- face detection
- segmentation method
- medical imaging
- binary classification
- logistic regression
- learning algorithm
- fully automatic
- brain structures
- caudate nucleus
- mri data
- ensemble learning
- computer simulation
- support vector machine
- computer aided diagnosis
- shape prior
- multi class classification
- automated analysis
- brain mri
- early diagnosis
- image analysis
- magnetic resonance imaging
- generalization ability
- region growing
- adaboost algorithm
- shape analysis
- multiple sclerosis