MhURI: A Supervised Segmentation Approach to Leverage Salient Brain Tissues in Magnetic Resonance Images.
Palash GhosalTamal ChowdhuryAmish KumarAshok Kumar BhadraJayasree ChakrabortyDebashis NandiPublished in: Comput. Methods Programs Biomed. (2021)
Keyphrases
- magnetic resonance images
- brain tissue
- brain mri
- tissue segmentation
- partial volume
- medical images
- bias field
- brain mr images
- brain tumors
- gray matter
- brain scans
- mri images
- mr images
- medical imaging
- brain atlas
- brain structures
- white matter
- mri scans
- magnetic resonance imaging
- image segmentation
- accurate segmentation
- brain tumor segmentation
- high resolution
- medical image analysis
- corpus callosum
- mri data
- diffusion tensor
- intensity distribution
- automatic segmentation
- cerebrospinal fluid
- segmentation algorithm
- magnetic resonance
- partial volume effects
- multiscale
- region growing
- segmentation method
- multiple sclerosis
- mr brain images
- level set
- brain images
- quantitative evaluation
- anatomical structures
- image intensity
- shape analysis
- fully automatic
- deformable models
- x ray