Brain Tumor Segmentation from Multi-Spectral Magnetic Resonance Image Data Using an Ensemble Learning Approach.
Ágnes GyorfiSzabolcs CsaholcziTímea FülöpLevente KovácsLászló SzilágyiPublished in: SMC (2020)
Keyphrases
- ensemble learning
- image data
- magnetic resonance
- multispectral
- brain tumor segmentation
- brain tumors
- mr images
- magnetic resonance images
- generalization ability
- satellite images
- remote sensing images
- brain images
- ensemble methods
- soft tissue
- multi spectral images
- hyperspectral
- random forest
- concept drift
- base classifiers
- unlabeled data
- remote sensing
- support vector machine svm
- image processing
- computer vision
- neural network
- prediction accuracy
- support vector
- decision trees
- learning algorithm