Classification of Brain Hemorrhages in MRI Using Naïve Bayes- Probabilistic Kernel Approach.
Nita KakhandakiShrinivas B. KulkarniRamesh K.Umakant P. KulkarniPublished in: J. Cases Inf. Technol. (2019)
Keyphrases
- bayes classifiers
- bayes classifier
- support vector
- bayesian classifiers
- tree augmented
- text classification
- feature space
- multi class
- decision trees
- support vector machine
- medical images
- magnetic resonance imaging
- classification accuracy
- bayesian networks
- classification models
- probabilistic model
- feature set
- kernel function
- kernel machines
- machine learning
- bayesian classifier
- eeg signals
- support vector machine svm
- image classification
- feature extraction
- eeg data
- brain images
- tissue segmentation
- histogram intersection kernel
- supervised classification
- magnetic resonance images
- human brain
- pattern classification
- kernel methods
- naive bayes
- text categorization
- generative model
- supervised learning
- semi supervised
- high resolution
- feature vectors
- feature selection