Significant Dimension Reduction of 3D Brain MRI using 3D Convolutional Autoencoders.
Hayato AraiYusuke ChayamaHitoshi IyatomiKenichi OishiPublished in: EMBC (2018)
Keyphrases
- dimension reduction
- brain mri
- principal component analysis
- feature extraction
- singular value decomposition
- high dimensional
- anatomical structures
- high dimensional problems
- dimensionality reduction
- high dimensionality
- feature space
- high dimensional data
- magnetic resonance images
- feature selection
- low dimensional
- unsupervised learning
- manifold learning
- linear discriminant analysis
- region growing
- cluster analysis
- remote sensing
- preprocessing
- restricted boltzmann machine
- data sets
- deep belief networks
- image data
- training set
- decision trees
- computer vision
- machine learning
- data mining