Improvement in Automated STEMI Detection by Modeling and Classification of the ST Segment.
Reza FiroozabadiRichard E. GreggSaeed BabaeizadehPublished in: CinC (2020)
Keyphrases
- automated classification
- pattern recognition
- classification accuracy
- classification scheme
- detection method
- neyman pearson
- preprocessing
- classification models
- decision trees
- support vector machine
- machine learning
- automated analysis
- automatic detection
- feature space
- classification algorithm
- benchmark datasets
- image classification
- detection rate
- classification method
- classification systems
- support vector
- digital mammograms
- feature extraction and classification
- microcalcification clusters
- semi automated
- automatically classify
- neural network
- automatic classification
- false alarms
- pattern classification
- decision rules
- false positives
- detection algorithm
- object detection
- artificial neural networks
- training set
- object recognition
- image segmentation