Classification of bifurcations regions in IVOCT images using support vector machine and artificial neural network models.
C. D. N. PortoCicero F. F. Costa FilhoMaysa M. G. MacedoMarco A. GutierrezMarly Guimarães Fernandes CostaPublished in: Medical Imaging: Computer-Aided Diagnosis (2017)
Keyphrases
- support vector machine
- input image
- image classification
- image features
- image data
- image regions
- region of interest
- svm classifier
- image database
- support vector machine svm
- classification method
- feature vectors
- support vector
- machine learning
- multi class
- segmented images
- image retrieval
- decision boundary
- keypoints
- classification algorithm
- segmentation algorithm
- image structure
- feature selection
- training set
- object recognition
- pattern recognition
- feature extraction
- decision trees
- svm classification
- classification accuracy
- feature space
- similarity measure
- edge detection
- image set
- image pixels
- radial basis function
- high classification accuracy
- homogeneous regions
- image processing
- multi layer perceptron
- image registration
- small number