Performance analysis of EM, SVD, and SVM classifiers in classification of carcinogenic regions of medical images.
Harikumar RajaguruVinoth Kumar BojanPublished in: Int. J. Imaging Syst. Technol. (2014)
Keyphrases
- medical images
- svm classifier
- support vector machine
- support vector machine svm
- region of interest
- support vector
- image classification
- anatomical structures
- feature vectors
- medical imaging
- deformable models
- medical image analysis
- svm classification
- image intensity
- magnetic resonance
- magnetic resonance imaging
- ct images
- medical diagnosis
- mr images
- magnetic resonance images
- medical image segmentation
- training set
- imaging modalities
- medical data
- computer aided diagnosis
- kernel function
- biomedical images
- feature selection
- singular value decomposition
- clinical practice
- computed tomography
- binary classifiers
- clinical applications
- segmentation of medical images
- feature extraction
- machine learning
- x ray images
- brain images
- semi supervised
- pattern recognition
- decision function
- remote sensing
- k nearest neighbor
- image features
- knn
- multi modality
- data sets