Interpreting response to TMZ therapy in murine GL261 glioblastoma by combining Radiomics, Convex-NMF and feature selection in MRI/MRSI data analysis.
Luis Miguel NúñezMargarida Julià-SapéEnrique RomeroCarles ArúsAlfredo VellidoAna-Paula CandiotaPublished in: IJCNN (2020)
Keyphrases
- magnetic resonance imaging
- feature selection
- data analysis
- mri data
- medical images
- medical imaging
- magnetic resonance images
- data pre processing
- negative matrix factorization
- machine learning
- nonnegative matrix factorization
- myocardial infarction
- mutual information
- feature selection algorithms
- convex optimization
- matrix factorization
- feature space
- text categorization
- data mining
- unsupervised feature selection
- cluster analysis
- bregman divergences
- feature extraction
- text classification
- multi class
- knowledge discovery
- multi task
- feature set
- document clustering
- mr images
- support vector machine
- image classification
- rough sets
- microarray data
- data warehouse
- image segmentation