Unsupervised learning for vascular heterogeneity assessment of glioblastoma based on magnetic resonance imaging: The Hemodynamic Tissue Signature.
Javier Juan-AlbarracínPublished in: CoRR (2020)
Keyphrases
- magnetic resonance imaging
- blood flow
- unsupervised learning
- patient specific
- medical images
- mri data
- partial volume effects
- magnetic resonance images
- medical imaging
- boundary conditions
- mri images
- supervised learning
- tagged mri
- phase unwrapping
- high temporal resolution
- clinical practice
- beating heart
- brain tissue
- semi supervised
- breast mri
- image registration
- carotid artery
- blood vessels
- expectation maximization
- positron emission tomography
- machine learning
- image analysis
- partial volume
- object recognition
- dce mri
- pattern recognition
- computer vision