Comparison of two-dimensional and three-dimensional U-Net architectures for segmentation of adipose tissue in cardiac magnetic resonance images.
Michaela KulasekaraVu Quang DinhMaria Fernandez-del-ValleJon D. KlingensmithPublished in: Medical Biol. Eng. Comput. (2022)
Keyphrases
- three dimensional
- magnetic resonance images
- adipose tissue
- bias field
- automatically segmenting
- brain mri
- medical images
- automatic segmentation
- cardiac mri
- partial volume
- mr images
- brain tumors
- intra subject
- brain scans
- medical imaging
- tissue segmentation
- mr imaging
- brain tissue
- mri images
- myocardial infarction
- white matter
- magnetic resonance imaging
- segmentation algorithm
- x ray
- diffusion tensor
- myocardial motion
- high resolution
- mr brain images
- image intensity
- magnetic resonance
- brain structures
- manual segmentation
- brain mr images
- brain tumor segmentation
- image analysis
- mri data
- medical image analysis
- gray matter
- accurate segmentation
- image processing
- region growing
- image segmentation
- intensity inhomogeneity
- inter subject
- segmentation method
- anatomical structures