Eres-UNet++: Liver CT image segmentation based on high-efficiency channel attention and Res-UNet++.
Jian LiKongyu LiuYating HuHongchen ZhangAli Asghar HeidariHuiling ChenWeijiang ZhangAbeer D. AlgarniHela ElmannaiPublished in: Comput. Biol. Medicine (2023)
Keyphrases
- high efficiency
- image segmentation
- ct images
- medical imaging
- ct scans
- computed tomography
- high accuracy
- ct data
- medical images
- multiscale
- real and synthetic datasets
- arbitrary shape
- multi channel
- x ray
- computer tomography
- memory space
- medical image segmentation
- liver segmentation
- density based clustering
- graph cuts
- image registration
- communication channels
- markov random field
- deformable registration
- three dimensional
- image processing
- level set method
- level set
- gray level
- image slices
- contrast enhanced
- white blood
- region growing
- visual attention
- region of interest
- deformable models
- segmentation method
- image analysis