Glaucoma classification with a fusion of segmentation and image-based features.
Arunava ChakravartyJayanthi SivaswamyPublished in: ISBI (2016)
Keyphrases
- features extraction
- feature vectors
- feature extraction
- feature set
- classification accuracy
- feature space
- classification method
- classification models
- feature extraction and classification
- classification process
- svm classifier
- extracting features
- pattern recognition
- color and texture information
- feature extraction and selection
- extracted features
- segmentation accuracy
- feature values
- brodatz textures
- machine learning
- class labels
- feature selection
- decision trees
- multiple features
- support vector machine svm
- textural features
- support vector
- grey level co occurrence matrix
- feature level fusion
- feature selection algorithms
- text classification
- image segmentation
- image features
- supervised learning
- medical images
- segmentation algorithm
- image regions
- data fusion
- benchmark datasets
- region growing
- level set
- feature fusion
- classification algorithm
- texture analysis
- support vector machine
- multiscale
- feature subset