Multi-class Alzheimer's disease classification using image and clinical features.
Tooba AltafSyed Muhammad AnwarNadia GulMuhammad Nadeem MajeedMuhammad MajidPublished in: Biomed. Signal Process. Control. (2018)
Keyphrases
- multi class
- image features
- image classification
- classifier training
- support vector machine
- multiclass classification
- multi class classification
- binary classifiers
- binary and multi class
- multi class classifier
- feature vectors
- classification accuracy
- multiple classes
- multi class boosting
- multi class svm
- binary classification problems
- feature extraction
- test images
- image representation
- cost sensitive
- svm classifier
- single class
- multiclass problems
- image content
- feature space
- feature selection
- binary classification
- feature set
- binary classification tasks
- image segmentation
- machine learning
- benchmark datasets
- object detection
- pairwise
- error correcting output codes
- support vector
- multi class problems
- class labels
- probabilistic boosting tree
- multi class svms
- single feature
- image retrieval
- text classification
- similarity measure
- image processing
- boosting algorithms
- training set
- skin lesion
- support vector machine svm