Classification of colorectal cancer based on the association of multidimensional and multiresolution features.
Matheus Gonçalves RibeiroLeandro Alves NevesMarcelo Zanchetta do NascimentoGuilherme Freire RobertoAlessandro Santana MartinsThaina Aparecida Azevedo TostaPublished in: Expert Syst. Appl. (2019)
Keyphrases
- multiresolution
- classification accuracy
- feature vectors
- feature space
- feature extraction
- feature set
- classification models
- classification process
- classification method
- svm classifier
- pattern recognition
- features extraction
- support vector machine
- svm classification
- class labels
- support vector
- decision trees
- benchmark datasets
- feature subset
- colorectal cancer
- pattern classification
- gender classification
- irrelevant features
- feature weights
- classification algorithm
- high dimensionality
- low level
- machine learning
- feature reduction
- extracting features
- feature construction
- supervised learning
- text classification
- feature representation
- automatic classification
- feature selection algorithms
- feature values
- feature analysis
- extracted features
- wavelet transform
- feature selection
- learning algorithm
- roc curve
- category labels
- false positives