A deep convolutional neural network for automated vestibular disorder classification using VNG analysis.
Amine Ben SlamaAymen MouelhiHanene SahliAbderrazek ZeraiiJihene MarrakchiHedi TrabelsiPublished in: Comput. methods Biomech. Biomed. Eng. Imaging Vis. (2020)
Keyphrases
- convolutional neural network
- pattern analysis
- classification accuracy
- automated analysis
- pattern recognition
- preprocessing
- data analysis
- supervised learning
- statistical analysis
- benchmark datasets
- decision trees
- feature selection
- object recognition
- training set
- machine learning
- pattern classification
- feature extraction
- automated classification