Sulcal and Cortical Features for Classification of Alzheimer's Disease and Mild Cognitive Impairment.
Maciej PlocharskiLasse Riis ØstergaardPublished in: SCIA (2019)
Keyphrases
- classification accuracy
- feature vectors
- feature space
- feature set
- feature extraction
- normal controls
- mild cognitive impairment
- extracted features
- neurological disorders
- support vector machine
- svm classification
- svm classifier
- high degree of accuracy
- pattern recognition
- pattern classification
- feature selection
- ad patients
- computer aided
- class imbalance
- high resolution
- cortical thickness
- wide range
- decision making