SSA-UNet: Whole brain segmentation by U-Net with squeeze-and-excitation block and self-attention block from the 2.5D slice image.
Shaofeng JiangXingyan ChenChen YiPublished in: IET Image Process. (2024)
Keyphrases
- image blocks
- segmentation method
- image segmentation
- quadtree decomposition
- image analysis
- fractal image coding
- segmentation algorithm
- multiscale
- grey level
- edge detection
- test images
- image regions
- input image
- image data
- segmented images
- image content
- image pixels
- pixel level
- single image
- image segments
- optimal segmentation
- block matching
- transform coefficients
- image features
- segmentation accuracy
- region growing
- block coding
- adaptive thresholding
- object segmentation
- berkeley segmentation dataset
- homogeneous regions
- gray value
- intensity distribution
- region segmentation
- energy function
- segmentation errors
- brain mr images
- microscopy images
- watershed transformation
- region of interest
- watershed algorithm
- energy functional
- image segmentation algorithm
- blocking artifacts
- medical images
- gray level
- image structure
- high resolution