Image Enhancement and Segmentation of Magnetic Resonance Cerebral Vessels Through Conventional and Deep Learning Techniques.
Daniela HerreraFrancisco Javier Lopez-TiroJosep MunueraChristian MataMiguel González-MendozaGilberto Ochoa-RuizPublished in: CBMS (2024)
Keyphrases
- image enhancement
- magnetic resonance
- deep learning
- medical images
- mr brain
- mr images
- mr brain images
- image slices
- edge detection
- image analysis
- image processing
- phase contrast
- contrast enhanced
- unsupervised learning
- contrast enhancement
- image data
- image registration
- image segmentation
- magnetic resonance images
- machine learning
- medical imaging
- segmentation algorithm
- brain images
- partial differential equations
- deformable models
- multiscale
- mental models
- human brain
- blood vessels
- region growing
- manual segmentation
- weakly supervised
- fully automatic
- carotid artery
- blood flow
- energy function
- co occurrence
- feature selection