Siamese neural networks for the classification of high-dimensional radiomic features.
Abhishaike MahajanJames D. DormerQinmei LiDeji ChenZhenfeng ZhangBaowei FeiPublished in: Medical Imaging: Computer-Aided Diagnosis (2020)
Keyphrases
- feature space
- high dimensional
- neural network
- high dimensionality
- feature vectors
- feature set
- pattern recognition
- classification accuracy
- feature extraction
- classification models
- classification method
- classification process
- pattern classification problems
- high dimensional feature spaces
- feature values
- dimensionality reduction
- benchmark datasets
- features extraction
- pattern classification
- highly discriminative
- classification algorithm
- class labels
- artificial neural networks
- support vector machine
- svm classifier
- discriminative features
- feature subset
- text classification
- training samples
- machine learning
- feature selection
- feature weights
- object recognition
- extracting features
- high dimensional feature space
- rule extraction
- feature maps
- low dimensional
- eeg signals
- neural network model
- feature analysis
- supervised learning
- gabor filters
- gene expression data
- training data
- sparse coding
- image classification