Computer-aided detection of multiple sclerosis lesions in brain magnetic resonance images: False positive reduction scheme consisted of rule-based, level set method, and support vector machine.
Daisuke YamamotoHidetaka ArimuraShingo KakedaTaiki MagomeYasuo YamashitaFukai ToyofukuMasafumi OhkiYoshiharu HigashidaYukunori KorogiPublished in: Comput. Medical Imaging Graph. (2010)
Keyphrases
- magnetic resonance images
- multiple sclerosis lesions
- false positives
- level set method
- grey matter
- brain tissue
- brain structures
- brain tumors
- level set
- mr images
- medical images
- white matter
- image segmentation
- medical imaging
- active contours
- deformable models
- partial volume effects
- brain mri
- magnetic resonance imaging
- gray matter
- high resolution
- mri data
- partial volume
- multiple sclerosis
- medical image analysis
- cerebrospinal fluid
- magnetic resonance
- diffusion tensor
- breast cancer
- cortical thickness
- active contour model
- segmentation result
- energy functional
- partial differential equations
- pattern recognition
- training data
- three dimensional
- computer aided diagnosis
- remote sensing
- image data
- multiscale