Segmentation of multiple sclerosis lesions from MR brain images using the principles of fuzzy-connectedness and artificial neuron networks.
Fitsum AdmasuStephan Al-ZubiKlaus D. TönniesNils BodammerHermann HinrichsPublished in: ICIP (2) (2003)
Keyphrases
- fuzzy connectedness
- mr brain images
- multiple sclerosis lesions
- image segmentation
- mr images
- magnetic resonance images
- magnetic resonance
- brain structures
- region growing
- brain images
- image segmentation algorithms
- segmentation method
- seed points
- deformable registration
- segmentation algorithm
- grey matter
- medical imaging
- segmented images
- ground truth
- image analysis
- high quality
- deformation field
- markov random field