Anatomical connectivity changes in bipolar disorder and schizophrenia investigated using whole-brain tract-based spatial statistics and machine learning approaches.
Bernis SutcubasiSinem Zeynep MetinTurker Tekin ErguzelBaris MetinCumhur TasMehmet Kemal ArikanNevzat TarhanPublished in: Neural Comput. Appl. (2019)
Keyphrases
- machine learning approaches
- spatial statistics
- medical images
- fiber bundles
- machine learning methods
- machine learning algorithms
- machine learning
- natural scenes
- white matter
- brain connectivity
- corpus callosum
- diffusion tensor
- optical flow
- white matter tracts
- medical imaging
- anatomical structures
- three dimensional
- diffusion tensor imaging
- functional connectivity
- data mining methods
- magnetic resonance imaging
- brain regions
- mr images
- association rules
- object recognition
- decision trees