Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data - A systematic review.
Ramya BalakrishnanMaria del C. Valdés HernándezAndrew J. FarrallPublished in: Comput. Medical Imaging Graph. (2021)
Keyphrases
- big data
- magnetic resonance images
- automatic segmentation
- white matter
- brain tissue
- grey matter
- gray matter
- brain images
- mri scans
- cerebrospinal fluid
- mr images
- corpus callosum
- mri data
- tissue segmentation
- automatically segmenting
- brain tumors
- medical images
- data management
- magnetic resonance imaging
- diffusion mri
- diffusion tensor
- diffusion tensor images
- diffusion tensor imaging
- accurate segmentation
- medical imaging
- fiber bundles
- data analysis
- diffusion weighted
- multiple sclerosis
- segmentation algorithm
- brain structures
- brain mr images
- partial volume effects
- cortical thickness
- partial volume
- medical image analysis
- high resolution
- dt mri
- human brain
- pairwise
- high quality
- higher order
- x ray
- deformable models
- tensor field
- computer vision
- magnetic resonance