Hippocampus segmentation in magnetic resonance images of Alzheimer's patients using Deep machine learning.
Hadi VarmazyarHossein Yousefi-BanaemSaber MalekzadehNahideh GharehaghajiPublished in: CoRR (2021)
Keyphrases
- magnetic resonance images
- brain structures
- mr images
- brain mri
- machine learning
- medical images
- mri scans
- subcortical structures
- mri data
- multiple sclerosis
- partial volume
- medical imaging
- brain scans
- brain tumors
- tissue segmentation
- accurate segmentation
- multiple sclerosis lesions
- computer aided diagnosis
- magnetic resonance imaging
- bias field
- brain mr images
- white matter
- myocardial infarction
- magnetic resonance
- clinical studies
- gray matter
- brain tissue
- medical image analysis
- grey level
- mr imaging
- intensity distribution
- pattern recognition
- diffusion tensor
- brain tumor segmentation
- diffusion weighted
- brain atlas
- inter subject
- corpus callosum
- brain mapping
- high resolution
- segmentation algorithm
- anatomical structures
- shape analysis
- mr brain images
- partial volume effects
- brain images
- image segmentation
- x ray
- ct images
- quantitative analysis
- model based segmentation
- image data
- deformable models
- human brain
- image processing
- computer vision