Ghost-Unet: An efficient convolutional neural network for spine MR image segmentation: Lightweight Segmentation Method for Spine MRI.
Yinghan XuQi LiSiyuan HeAwudong BuhailiqiemuPublished in: RICAI (2022)
Keyphrases
- lightweight
- segmentation method
- mr imaging
- image segmentation
- automated segmentation
- convolutional neural network
- mr images
- region growing
- magnetic resonance
- segmentation result
- active contours
- object segmentation
- method for image segmentation
- medical images
- mri data
- segmentation algorithm
- energy function
- model based segmentation
- superpixels
- region merging
- magnetic resonance images
- shape prior
- medical imaging
- active contour model
- face detection
- magnetic resonance imaging
- segmented images
- segmentation scheme
- segmentation procedure
- intensity information
- image segmentation methods
- watershed transform
- image processing
- multiscale
- pairwise
- watershed segmentation
- energy functional
- graph cuts
- contrast enhanced
- manual segmentation
- object recognition
- neural network