Segmenting white matter hyperintensities on isotropic three-dimensional Fluid Attenuated Inversion Recovery magnetic resonance images: A comparison of Deep learning tools on a Norwegian national imaging database.
Martin Soria RoevangPer SelnesBradley J. MacIntoshInge Rasmus GrooteLene PaalhaugenCarole SudreTormod FladbyAtle BjørnerudPublished in: CoRR (2022)
Keyphrases
- magnetic resonance images
- white matter
- learning tools
- medical imaging
- database
- three dimensional
- high resolution
- medical images
- diffusion tensor
- mri data
- mr images
- x ray
- learning experience
- magnetic resonance imaging
- grey matter
- brain tissue
- mr imaging
- gray matter
- computed tomography
- corpus callosum
- image segmentation
- partial volume effects
- multiple sclerosis
- brain mri
- database systems
- brain images
- diffusion tensor images
- image analysis
- brain tumors
- distance learning
- mobile learning
- human brain
- partial volume
- diffusion mri
- medical image analysis
- brain structures
- mri scans
- diffusion weighted
- quantitative evaluation
- diffusion tensor imaging
- mri images
- remote sensing
- accurate segmentation
- magnetic resonance
- video games
- image registration
- cerebrospinal fluid
- tissue segmentation
- imaging modalities
- anatomical structures
- image intensity
- dt mri
- data management
- pattern recognition
- high quality