Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images.
Chao MaGongning LuoKuanquan WangPublished in: IEEE Trans. Medical Imaging (2018)
Keyphrases
- mr images
- random forests
- active contour model
- magnetic resonance images
- brain tumor segmentation
- multiscale
- magnetic resonance
- active contours
- brain tumors
- medical images
- random forest
- manual segmentation
- image segmentation
- decision trees
- machine learning algorithms
- logistic regression
- energy minimization
- mri data
- segmentation method
- ensemble methods
- nonrigid registration
- region growing
- image data
- image processing
- gradient vector flow
- prostate cancer
- scale space
- edge detection
- level set method
- anatomical structures
- white matter
- medical imaging
- dce mri
- intensity inhomogeneity
- shape prior
- medical image analysis
- energy function
- force field
- higher order
- machine learning
- denoising
- image registration
- remote sensing
- feature vectors