Self-organizing maps as a tool for segmentation of Magnetic Resonance Imaging (MRI) of relapsing-remitting multiple sclerosis.
Paulo Afonso MeiCleyton de Carvalho CarneiroMichelle Chaves KurodaStephen J. FraserLi Li MinFabiano ReisPublished in: WSOM (2017)
Keyphrases
- magnetic resonance imaging
- self organizing maps
- lesion segmentation
- magnetic resonance images
- multiple sclerosis
- brain mri
- medical images
- medical imaging
- anatomical structures
- mri images
- mri data
- white matter
- magnetic resonance
- partial volume
- mr images
- neural network
- partial volume effects
- brain tissue
- positron emission tomography
- brain tumors
- input data
- corpus callosum
- manual segmentation
- diffusion tensor
- breast mri
- brain structures
- unsupervised learning
- ct images
- medical image analysis
- deformable models
- image segmentation
- x ray
- image data
- computed tomography
- region growing
- remote sensing
- k means
- high dimensional