Smart Identification of Topographically Variant Anomalies in Brain Magnetic Resonance Imaging Using a Fish School-Based Fuzzy Clustering Approach.
Saravanan AlagarsamyYudong ZhangVishnuvarthanan GovindarajRajasekaran Murugan PallikondaSakthivel SankaranPublished in: IEEE Trans. Fuzzy Syst. (2021)
Keyphrases
- fuzzy clustering
- magnetic resonance imaging
- partial volume effects
- medical images
- mri data
- diffusion tensor images
- magnetic resonance images
- fuzzy c means
- single photon emission computed tomography
- brain tissue
- medical imaging
- fuzzy clustering algorithms
- mri images
- fuzzy clustering algorithm
- brain images
- clustering algorithm
- fuzzy c means algorithm
- membership functions
- cluster analysis
- positron emission tomography
- anomaly detection
- fuzzy clustering method
- human brain
- brain tumors
- fuzzy c means clustering algorithm
- brain structures
- beating heart
- possibilistic clustering
- magnetic resonance
- fuzzy logic
- multiple sclerosis
- mr images
- remote sensing
- x ray
- decision making
- genetic algorithm
- data mining
- real world