Differential diagnosis of CT focal liver lesions using texture features, feature selection and ensemble driven classifiers.
Stavroula G. MougiakakouIoannis K. ValavanisAlexandra NikitaKonstantina S. NikitaPublished in: Artif. Intell. Medicine (2007)
Keyphrases
- pulmonary nodules
- texture features
- differential diagnosis
- feature selection
- ct images
- feature set
- ct scans
- computed tomography
- ensemble classifier
- feature extraction
- texture classification
- computer aided
- texture analysis
- ensemble learning
- computer aided diagnosis
- medical images
- feature vectors
- gabor filters
- shape features
- feature subset
- local binary pattern
- classification accuracy
- support vector
- medical imaging
- texture feature extraction
- x ray
- base classifiers
- ct data
- feature space
- lung nodules
- gray level
- ensemble methods
- region of interest
- distance measure
- image features
- naive bayes
- training set
- lung cancer
- medical domain
- data sets
- text classification
- computer vision
- image reconstruction
- image registration
- training data
- medical image processing
- machine learning
- three dimensional
- image processing