Graph Laplacian-based Tumor Segmentation and Denoising in Brain Magnetic Resonance Imaging.
Adnan HanifMilos DoroslovackiPublished in: ACSSC (2020)
Keyphrases
- magnetic resonance imaging
- tumor segmentation
- brain tumors
- graph laplacian
- magnetic resonance images
- denoising
- medical images
- mri data
- medical imaging
- brain mr images
- random walk
- brain tissue
- spectral clustering
- brain images
- mr images
- spectral analysis
- euclidean space
- basis functions
- image processing
- medical image analysis
- weighted graph
- total variation
- kernel machines
- white matter
- magnetic resonance
- natural images
- laplace beltrami
- manifold structure
- image segmentation
- diffusion tensor
- x ray
- anatomical structures
- human brain
- image registration
- data points
- active contour model
- bayesian framework
- shape model
- deformable models
- pairwise
- high quality