Stochastic Uncertainty Quantification Techniques Fail to Account for Inter-analyst Variability in White Matter Hyperintensity Segmentation.
Ben PhilpsMaria del C. Valdés HernándezSusana Muñoz ManiegaMark E. BastinEleni SakkaUna ClancyJoanna M. WardlawMiguel O. BernabeuPublished in: MIUA (1) (2024)
Keyphrases
- white matter
- gray matter
- corpus callosum
- cerebrospinal fluid
- grey matter
- magnetic resonance images
- diffusion tensor images
- partial volume effects
- human brain
- mri data
- dt mri
- diffusion tensor mri
- fiber bundles
- diffusion tensor
- brain mr images
- brain images
- brain mri
- mr brain images
- diffusion imaging
- diffusion tensor imaging
- brain tissue
- quantitative evaluation
- multiple sclerosis
- white matter tracts
- partial volume
- brain tumors
- segmentation algorithm
- image segmentation
- magnetic resonance
- mr images
- segmentation method
- level set
- mri images
- diffusion mri
- medical images
- brain structures
- accurate segmentation
- fully automatic
- multiscale
- inter subject
- tensor field
- shape prior
- high quality
- computer vision