Assessment of Linear and Non-linear Feature Projections for the Classification of 3-D MR Images on Cognitively Normal, Mild Cognitive Impairment and Alzheimer's Disease.
Marcelo R. Moura AraújoKatia Maria PoloniRicardo José FerrariPublished in: ICCSA (2) (2021)
Keyphrases
- feature vectors
- classification accuracy
- mild cognitive impairment
- high degree of accuracy
- support vector
- pattern recognition
- normal controls
- feature extraction
- support vector machine svm
- early diagnosis
- preprocessing
- training set
- feature set
- svm classification
- ad patients
- image processing
- pattern classification
- decision trees