GSUNet: A Brain Tumor Segmentation Method Based on 3D Ghost Shuffle U-Net.
Jixuan HongJingjing XieXueqin HeChenHui YangPublished in: MMM (1) (2024)
Keyphrases
- segmentation method
- brain tumors
- magnetic resonance images
- mr images
- region growing
- magnetic resonance
- image segmentation
- energy function
- medical image analysis
- active contours
- deformable registration
- segmented images
- active contour model
- object segmentation
- segmentation algorithm
- automated segmentation
- brain tissue
- segmentation result
- brain images
- model based segmentation
- ultrasound image segmentation
- shape prior
- intensity information
- method for image segmentation
- manual segmentation
- medical imaging
- medical images
- segmentation procedure
- magnetic resonance imaging
- deformable models
- image analysis
- high quality