TDS-U-Net: Automatic liver and tumor separate segmentation of CT volumes using attention gates.
Hua WangZhi-Ming WangXiu-Tao CuiLong LiPublished in: J. Intell. Fuzzy Syst. (2023)
Keyphrases
- contrast enhanced
- ct images
- liver segmentation
- medical images
- fully automatic
- white blood
- computed tomography
- tumor segmentation
- ct data
- ct scans
- brain tumors
- image slices
- organ segmentation
- treatment planning
- medical imaging
- image volumes
- lymph nodes
- computer tomography
- mr images
- magnetic resonance
- automated segmentation
- three dimensional
- ct volume
- mri images
- mri data
- abdominal organs
- cardiac ct
- level set
- image segmentation
- patient specific
- inter patient
- segmentation algorithm
- carotid artery
- x ray
- segmentation method
- deformable models
- ground glass opacity
- statistical shape model
- clinical studies
- intraoperative
- brain images
- brain structures
- deformable registration
- breast cancer
- image reconstruction
- white blood cells
- pet ct
- dce mri
- organ motion
- magnetic resonance images
- brain mri
- low grade gliomas