Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation.
Nader AldojFederico BiavatiMarc DeweyAnja HennemuthPatrick AsbachIngolf SackPublished in: CoRR (2021)
Keyphrases
- magnetic resonance
- fully automated
- mr imaging
- soft tissue
- mr images
- medical images
- fully automatic
- prostate segmentation
- manual segmentation
- mr brain
- mr brain images
- automated segmentation
- image registration
- image data
- brain tumors
- segmentation accuracy
- image slices
- brain images
- contrast enhanced
- mri data
- magnetic resonance images
- imaging modalities
- clinical applications
- prostate cancer
- medical imaging
- phase contrast
- anatomical structures
- brain tumours
- computer vision
- medical image analysis
- quantitative evaluation
- automatic segmentation
- cardiac motion
- deformable models
- segmentation algorithm
- image analysis
- nonrigid registration
- carotid artery
- image segmentation
- image processing