MA-UNet++: A Multi-Attention Guided U-Net++ for COVID-19 CT Segmentation.
Kun LiuJunfei XieMei ChenHaiyong ChenWeipeng LiuPublished in: ASCC (2022)
Keyphrases
- medical images
- medical imaging
- image segmentation
- level set
- image slices
- multiscale
- x ray
- segmentation algorithm
- computer tomography
- mri images
- computed tomography
- ct images
- segmentation accuracy
- magnetic resonance imaging
- ct and mr images
- ct scans
- anatomical structures
- shape prior
- computer vision
- white blood
- object segmentation
- region growing
- three dimensional
- fully automatic
- automated segmentation
- lung nodules
- mri brain
- ct volume
- image regions
- head images
- mr images
- brain mri
- visual attention
- magnetic resonance images