Evaluating Autoencoders for Dimensionality Reduction of MRI-derived Radiomics and Classification of Malignant Brain Tumors.
Mikayla BiggsYaohua WangNeetu SoniSarv PriyaGirish BathlaGuadalupe CanahuatePublished in: SSDBM (2023)
Keyphrases
- brain tumors
- dimensionality reduction
- low grade gliomas
- magnetic resonance images
- mr images
- feature extraction
- high dimensionality
- dimensionality reduction methods
- feature selection
- pattern recognition
- medical images
- magnetic resonance
- denoising
- brain tumor segmentation
- magnetic resonance spectroscopy
- high dimensional data
- roc analysis
- support vector
- machine learning
- principal component analysis
- tumor segmentation
- lung nodules
- mri images
- mri data
- brain images
- medical image analysis
- mri scans
- feature space
- real patient data
- magnetic resonance imaging
- image data
- breast cancer