SF-SegFormer: Stepped-Fusion Segmentation Transformer for Brain Tissue Image via Inter-Group Correlation and Enhanced Multi-layer Perceptron.
Jinjing ZhangLijun ZhaoJianchao ZengPinle QinPublished in: MIUA (2022)
Keyphrases
- grey level
- brain mr images
- segmentation method
- brain tissue
- segmentation algorithm
- image segmentation
- multi layer perceptron
- multiscale
- image data
- input image
- edge detection
- image analysis
- image features
- adaptive thresholding
- region growing
- tissue segmentation
- energy function
- neural network
- intensity distribution
- mr images
- automatic segmentation
- data sets
- medical images
- partial volume
- artificial neural networks
- high resolution
- textured images
- magnetic resonance images
- caudate nucleus
- machine learning
- brain tumors
- medical image analysis
- level set
- magnetic resonance
- gray level
- region of interest
- white matter
- image registration
- radial basis function
- training data
- computer vision
- fully automatic
- medical imaging