ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography.
Hooman VaseliAng Nan GuS. Neda Ahmadi AmiriMichael Y. TsangAndrea FungNima KondoriArmin SaadatPurang AbolmaesumiTeresa S. M. TsangPublished in: CoRR (2023)
Keyphrases
- automatic classification
- support vector machine
- training set
- classification algorithm
- decision trees
- pattern recognition
- feature vectors
- classification accuracy
- neural network
- classification systems
- support vector
- classification scheme
- decision rules
- classification method
- pattern classification
- benchmark datasets
- learning algorithm
- data sets
- quantitative evaluation
- decision theory
- uncertain data
- classification rules
- support vector machine svm
- model selection
- image classification
- feature extraction