A random graph-based neural network approach to assess glioblastoma progression from perfusion MRI.
Hamail AyazHanieh KhosraviIan McLoughlinDavid TormeyYelda ÖzsunarSaritha UnnikrishnanPublished in: Biomed. Signal Process. Control. (2023)
Keyphrases
- magnetic resonance imaging
- neural network
- single photon emission computed tomography
- mri data
- medical images
- magnetic resonance images
- motion correction
- mr imaging
- myocardial perfusion
- functional mri
- medical imaging
- artificial neural networks
- graph model
- neural nets
- dce mri
- positron emission tomography
- dynamic contrast enhanced mri
- semi supervised
- magnetic resonance
- bp neural network
- prediction model
- neural network is trained
- mr images
- fault diagnosis
- fuzzy logic
- mri images
- neural network model
- spect images
- cerebral blood flow
- left ventricular
- recurrent neural networks
- feed forward
- back propagation
- knn
- image analysis
- pattern recognition