Automatic upper airway segmentation in static and dynamic MRI via deep convolutional neural networks.
Lipeng XieJayaram K. UdupaYubing TongDrew A. TorigianZihan HuangRachel M. KoganJennifer Ben NathanDavid WoottonKokren ChoySanghun SinMark E. WagshulRaanan ArensPublished in: Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2021)
Keyphrases
- convolutional neural networks
- brain scans
- medical images
- fully automatic
- brain mri
- magnetic resonance imaging
- mri images
- mri data
- quantitative analysis
- brain structures
- image segmentation
- brain tumors
- level set
- magnetic resonance images
- partial volume
- lesion segmentation
- medical imaging
- segmentation method
- multiscale
- ct images
- mr images
- convolutional network
- carotid artery
- segmentation algorithm
- tissue segmentation
- region growing
- brain tumor segmentation
- energy function
- intensity distribution
- computed tomography
- semi automatic
- phase contrast
- high resolution
- anatomical structures
- mr imaging
- shape prior
- feature extraction
- face recognition