A hierarchical nonparametric Bayesian approach for medical images and gene expressions classification.
Tarek ElguebalyNizar BouguilaPublished in: Soft Comput. (2015)
Keyphrases
- medical images
- gene expression
- anatomical structures
- microarray
- ovarian cancer
- medical image segmentation
- microarray data
- magnetic resonance
- pattern recognition
- deformable models
- magnetic resonance imaging
- medical imaging
- imaging modalities
- medical image analysis
- computer aided diagnosis
- multi modality
- ct images
- brain images
- gene expression profiles
- magnetic resonance images
- microarray datasets
- gene expression data
- high dimensionality
- mr images
- clinical practice
- dna microarray
- medical image retrieval
- gene expression analysis
- feature extraction
- segmentation of medical images
- machine learning
- biomedical images
- computed tomography
- support vector machine
- feature selection
- data mining
- x ray images
- high throughput
- cancer classification
- image analysis
- feature space
- microarray gene