Convolutional Neural Networks for Prostate Magnetic Resonance Image Segmentation.
Tahereh HassanzadehLeonard G. C. HameyKevin Ho-ShonPublished in: IEEE Access (2019)
Keyphrases
- magnetic resonance
- convolutional neural networks
- image segmentation
- mr imaging
- brain image segmentation
- prostate segmentation
- mr images
- prostate biopsy
- medical images
- prostate cancer
- deformable models
- image data
- brain images
- image registration
- segmentation result
- soft tissue
- graph cuts
- active contours
- multiscale
- image volumes
- magnetic resonance images
- mr brain images
- imaging artifacts
- medical imaging
- segmentation method
- gray level
- mr brain
- cardiac motion
- image processing
- brain tumors
- computer vision
- mri data
- markov random field
- clinical applications
- region growing
- contrast enhanced
- medical image analysis
- image analysis
- energy function
- image slices
- automatic segmentation
- multiple sclerosis
- imaging modalities
- ultrasound images
- anatomical structures
- segmentation algorithm
- intensity inhomogeneity