Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging.
Ekin YagisShahab AslaniYashvardhan JainYang ZhouShahrokh RahmaniJoseph BrunetAlexandre BellierChristopher WerleinMaximilian AckermannDanny JonigkPaul TafforeauPeter D. LeeClaire WalshPublished in: CoRR (2023)
Keyphrases
- phase contrast
- deep learning
- blood flow
- magnetic resonance angiography
- phase contrast images
- microscopy images
- patient specific
- low contrast
- blood vessels
- vessel segmentation
- magnetic resonance
- image analysis
- unsupervised learning
- medical imaging
- boundary conditions
- computational fluid dynamics
- machine learning
- image segmentation
- image processing
- image reconstruction
- weakly supervised
- multi channel
- left ventricular
- feature selection
- high resolution
- carotid artery
- mental models
- clinical applications
- fully automatic
- region growing
- automated analysis
- mr images
- segmentation method
- retinal images
- energy function
- medical images
- markov random field
- pattern recognition
- object segmentation