Automatic Brain Tumor Segmentation in Multispectral MRI Volumes Using a Random Forest Approach.
Zoltán KapásLászló LefkovitsDavid IclanzanÁgnes GyorfiBarna László IantovicsSzidónia LefkovitsSándor Miklós SzilágyiLászló SzilágyiPublished in: PSIVT (2017)
Keyphrases
- multispectral
- random forest
- brain tumor segmentation
- magnetic resonance images
- random forests
- remote sensing
- remote sensing images
- decision trees
- multispectral images
- image data
- spatial resolution
- image analysis
- ensemble methods
- hyperspectral
- multispectral imaging
- feature set
- multispectral satellite images
- magnetic resonance imaging
- high resolution
- multi label
- spectral characteristics
- mr images
- medical images
- active learning
- medical imaging
- decision tree learning algorithms
- brain tumors
- data sets
- semi supervised
- data streams
- video sequences
- computer vision