Computer Aided Diagnosis of CT Focal Liver Lesions based on Texture Features, Feature Selection and Ensembles of Classifiers.
Stavroula G. MougiakakouIoannis K. ValavanisAlexandra NikitaKonstantina S. NikitaPublished in: AIAI (2006)
Keyphrases
- computer aided diagnosis
- texture features
- ct scans
- feature set
- feature selection
- medical images
- ct images
- medical imaging
- ct data
- computer aided
- lung nodules
- computed tomography
- feature extraction
- ensemble classifier
- lesion detection
- organ segmentation
- image analysis
- texture classification
- texture analysis
- pulmonary nodules
- feature subset
- color features
- classification accuracy
- breast cancer
- cad systems
- support vector
- gabor filters
- decision trees
- local binary pattern
- naive bayes
- feature vectors
- feature space
- text categorization
- text classification
- early diagnosis
- liver segmentation
- mr images
- image features
- dermoscopy images
- machine learning
- extracted features
- magnetic resonance imaging
- logistic regression
- training set
- x ray images
- magnetic resonance images
- image segmentation
- magnetic resonance
- multiresolution
- knn
- image reconstruction
- gray level
- image registration