Brain Tumor Classification and Segmentation Using Dual-Outputs for U-Net Architecture: O2U-Net.
Seyed Aman ZargariZahra Sadat KiaAli Mohammad NickfarjamDaniel HieberFelix HollPublished in: ICIMTH (2023)
Keyphrases
- brain tumors
- tumor segmentation
- mr images
- low grade gliomas
- mri images
- classification accuracy
- magnetic resonance spectroscopy
- medical imagery
- magnetic resonance
- machine learning
- image segmentation
- brain mr images
- segmentation algorithm
- feature selection
- level set
- decision trees
- feature extraction
- support vector
- support vector machine
- pattern recognition
- feature space
- feature vectors
- fully automatic
- grey level
- energy function
- deformable registration
- brain images
- magnetic resonance images
- shape prior
- background subtraction
- brain tumor segmentation
- decision making