Brain Tumour Segmentation Using Probabilistic U-Net.
Chinmay SavadikarRahul KulhalliBhushan GarwarePublished in: BrainLes@MICCAI (2) (2020)
Keyphrases
- medical images
- brain tumors
- segmentation algorithm
- caudate nucleus
- image segmentation
- brain mr images
- magnetic resonance images
- tissue segmentation
- brain structures
- level set
- brain images
- multiscale
- segmentation accuracy
- region growing
- generative model
- mri scans
- medical imaging
- probabilistic model
- segmentation method
- adaptive thresholding
- pet images
- probabilistic formulation
- brain mri
- edge detection
- medical image analysis
- mr images
- image analysis
- white matter tracts
- brain mapping
- probabilistic atlas
- diffusion tensor images
- physiological parameters
- atlas construction
- vessel segmentation
- dce mri
- corpus callosum
- image data
- model based segmentation
- energy function
- automatic segmentation
- object segmentation
- magnetic resonance
- human brain
- shape prior