RELA_Net: Upper Airway CBCT Image Segmentation Model Based on Receptive Field Expansion and Large-Kernel Attention.
Hongyong GaoWeibo SongShulin CuiBaokang ZhouHuachao TanQiang WangPublished in: IEEE Access (2024)
Keyphrases
- receptive fields
- image segmentation
- ct images
- cone beam ct
- computed tomography
- soft tissue
- prostate cancer
- medical imaging
- saliency map
- biologically inspired
- input space
- cone beam
- natural images
- deformable models
- projection images
- image representation
- visual attention
- medical images
- image quality
- radiation therapy
- x ray
- multiscale
- ct scans
- kernel function
- graph cuts
- feature space
- automatic segmentation
- ct data
- segmentation algorithm
- hidden layer
- image guided
- image processing
- support vector
- medical image analysis
- radon transform
- video sequences
- video frames
- visual information
- mr images
- dimensionality reduction
- pattern recognition