Automated grey and white matter segmentation in digitized Aβ human brain tissue slide images.
Zhengfeng LaiRunlin GuoWenda XuZin HuKelsey MifflinBrittany N. DuggerChen-Nee ChuahSen-Ching S. CheungPublished in: ICME Workshops (2020)
Keyphrases
- brain tissue
- brain mr images
- white matter
- magnetic resonance images
- gray matter
- mri images
- tissue segmentation
- automatic segmentation
- mr images
- segmentation algorithm
- accurate segmentation
- partial volume
- mri data
- brain tumors
- mr brain images
- diffusion tensor images
- grey level
- partial volume effects
- segmentation method
- medical images
- cerebrospinal fluid
- low contrast
- brain images
- input image
- diffusion tensor imaging
- brain anatomy
- brain mri
- corpus callosum
- fully automatic
- magnetic resonance
- multiple sclerosis
- watershed transform
- human brain
- diffusion tensor
- medical imaging
- image data
- morphological operations
- intensity distribution
- magnetic resonance imaging
- textured images
- deformable registration
- medical image analysis
- image registration
- mri scans
- human subjects
- high quality
- dt mri
- ground truth
- semi automatic
- three dimensional
- anatomical structures
- quantitative evaluation
- tensor field
- image segmentation
- edge detection
- natural images
- binary images
- shape prior
- fiber bundles
- computer vision