SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography.
Jinke WangPeiqing LvHaiying WangChangfa ShiPublished in: Comput. Methods Programs Biomed. (2021)
Keyphrases
- computed tomography
- liver segmentation
- ct images
- computed tomography scans
- fully automatic
- image reconstruction
- ct data
- medical images
- medical image processing
- medical imaging
- three dimensional
- ct scans
- medical image segmentation
- spatial pyramid
- semi automatic
- patient specific
- image processing
- medical diagnosis
- coronary artery
- intraoperative
- pattern recognition
- x ray
- feature points
- image segmentation
- prior knowledge