SeCED-FS: A New Approach for the Classification and Discovery of Significant Regions in Medical Images.
Hui LiHanhu WangMei ChenTeng WangXuejian WangPublished in: APWeb/WAIM (2007)
Keyphrases
- medical images
- region of interest
- anatomical structures
- medical imaging
- magnetic resonance
- medical image segmentation
- mr images
- medical diagnosis
- deformable models
- medical image analysis
- image intensity
- soft tissue
- pattern recognition
- ct images
- feature selection
- computer aided diagnosis
- brain images
- imaging modalities
- segmentation of medical images
- clinical applications
- magnetic resonance images
- computed tomography
- data mining
- magnetic resonance imaging
- medical image retrieval
- x ray images
- computer tomography
- mri images
- biomedical images
- text classification
- image classification
- input image
- feature space
- clinical practice
- feature extraction
- multi modal
- medical data