Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities.
Hugo J. KuijfPim MoeskopsBob D. de VosWillem H. BouvyJeroen de BresserGeert Jan BiesselsMax A. ViergeverKoen L. VinckenPublished in: Medical Imaging: Image Processing (2016)
Keyphrases
- novelty detection
- tissue classification
- white matter
- grey matter
- human brain
- gray matter
- brain images
- brain tissue
- cerebrospinal fluid
- corpus callosum
- magnetic resonance images
- diffusion tensor images
- diffusion mri
- diffusion tensor mri
- mri data
- partial volume effects
- diffusion tensor
- brain white matter
- diffusion imaging
- fiber bundles
- multiple sclerosis
- mr images
- concept drift
- mri scans
- cerebral cortex
- diffusion tensor imaging
- anomaly detection
- cortical thickness
- information processing
- brain structures
- supervised learning
- learning algorithm
- semi supervised
- unsupervised learning
- magnetic resonance
- white matter tracts
- high angular resolution diffusion imaging
- brain regions
- dt mri
- data distribution
- medical images
- brain mr images
- support vector machine
- post mortem
- brain tumors
- magnetic resonance imaging
- functional magnetic resonance imaging
- resting state fmri
- machine learning
- white matter fiber