Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests.
Deepak Ranjan NayakRatnakar DashBanshidhar MajhiPublished in: Neurocomputing (2016)
Keyphrases
- random forests
- discrete wavelet transform
- decision trees
- ensemble methods
- decision tree ensembles
- machine learning algorithms
- random forest
- support vector
- wavelet coefficients
- wavelet domain
- feature vectors
- logistic regression
- pattern recognition
- multiresolution
- machine learning methods
- machine learning
- feature space
- classification accuracy
- benchmark datasets
- high frequency
- learning algorithm
- subband
- feature selection
- three dimensional
- training set
- image classification
- brain mr images
- image fusion
- support vector machine
- quantitative evaluation
- feature extraction
- base classifiers
- training data
- prediction accuracy
- high quality
- spatial domain
- multiscale
- multi class
- visual quality
- wavelet transform
- similarity measure
- low frequency
- image analysis
- image registration
- face detection
- feature set