Precise segmentation of non-enhanced computed tomography in patients with ischemic stroke based on multi-scale U-Net deep network model.
Shaoquan LiJianye ZhengDongjiao LiPublished in: Comput. Methods Programs Biomed. (2021)
Keyphrases
- network model
- computed tomography
- ischemic stroke
- medical images
- multiscale
- medical imaging
- ct images
- ct scans
- image segmentation
- image reconstruction
- liver segmentation
- medical data
- contrast enhanced
- ct data
- coronary artery disease
- lymph nodes
- fracture detection
- computed tomography scans
- three dimensional
- lung cancer patients
- computer tomography
- image analysis
- neural network
- magnetic resonance
- imaging modalities
- ct imaging
- health care
- x ray
- edge detection
- lung nodules
- pet ct
- computer aided diagnosis
- inter observer variability
- radiation doses
- medical image processing
- image guided
- clinical practice
- magnetic resonance images
- magnetic resonance imaging
- medical diagnosis
- region of interest
- mr images
- image registration
- image processing
- brain imaging
- segmentation algorithm
- level set
- information systems