Ensemble Learning Based Segmentation of Metastatic Liver Tumours in Contrast-Enhanced Computed Tomography.
Akinobu ShimizuTakuya NarihiraHidefumi KobatakeDaisuke FurukawaShigeru NawanoKenji ShinozakiPublished in: IEICE Trans. Inf. Syst. (2013)
Keyphrases
- contrast enhanced
- computed tomography
- ensemble learning
- ct images
- medical images
- ct data
- medical imaging
- ct scans
- liver segmentation
- image reconstruction
- computed tomography scans
- three dimensional
- ensemble methods
- carotid artery
- feature selection
- mr images
- computer tomography
- anatomical structures
- inter observer variability
- contrast enhancement
- magnetic resonance imaging
- mri data
- level set
- medical image processing
- x ray
- imaging modalities
- heart disease
- random forest
- patient specific
- intraoperative
- base classifiers
- magnetic resonance
- computer aided
- segmentation algorithm
- super resolution
- image analysis
- pattern recognition
- high quality
- feature extraction
- image segmentation