Edge and anomaly detection of brain magnetic resonance images in a distributed environment.
Cherifa Nabila ChaouiAbdelghani GhomariBoudjelal MeftahPublished in: Int. J. Imaging Syst. Technol. (2022)
Keyphrases
- anomaly detection
- distributed environment
- magnetic resonance images
- brain tissue
- tissue segmentation
- brain tumors
- diffusion weighted
- brain structures
- mr images
- medical images
- intrusion detection
- distributed systems
- brain atlas
- magnetic resonance imaging
- partial volume effects
- medical imaging
- anomalous behavior
- gray matter
- intelligent agents
- white matter
- partial volume
- network intrusion detection
- network anomaly detection
- detecting anomalies
- mri data
- diffusion tensor
- peer to peer
- intrusion detection system
- detect anomalies
- high resolution
- edge detection
- one class support vector machines
- unsupervised learning
- brain images
- network traffic
- information processing
- negative selection algorithm
- diffusion tensor images
- automatic segmentation
- magnetic resonance
- reinforcement learning
- artificial intelligence