mFAST: Automatic Stoke Evaluation System for Time-Critical Treatment with Multimodal Feature Collection and Machine Learning Classification.
Eunjeong ParkTaehwa HanHyo Suk NamPublished in: ICCAE (2020)
Keyphrases
- machine learning
- decision trees
- feature vectors
- machine learning methods
- pattern recognition
- supervised machine learning
- classification accuracy
- machine learning algorithms
- text classification
- brain image analysis
- automatic evaluation
- pattern classification
- feature space
- feature selection
- feature set
- support vector machine
- machine learning approaches
- supervised classification
- data mining
- automatic classification
- classification models
- model selection
- learning algorithm
- classification algorithm
- classification systems
- classification scheme
- classification method
- semi automatic
- svm classifier
- support vector
- supervised learning
- class labels
- training set
- fully automatic
- computer vision
- feature extraction
- multi modal
- irrelevant features
- natural language processing
- neural network
- feature weights
- statistical classification
- preprocessing
- svm classification
- discriminative features
- feature representation
- cost sensitive
- learning tasks
- active learning
- text mining
- multi class