An Efficient Segmentation and Classification System in Medical Images Using Intuitionist Possibilistic Fuzzy C-Mean Clustering and Fuzzy SVM Algorithm.
Chiranji Lal ChowdharyMohit MittalP. KumaresanPriyadarshini Adyasha PattanaikZbigniew MarszalekPublished in: Sensors (2020)
Keyphrases
- medical images
- k means
- fcm algorithm
- fuzzy c means
- support vector machine svm
- fuzzy clustering
- fuzzy clustering algorithm
- segmentation algorithm
- clustering method
- clustering analysis
- support vector
- fuzzy clustering algorithms
- region of interest
- pattern recognition
- support vector machine
- medical image analysis
- magnetic resonance imaging
- fuzzy logic
- magnetic resonance images
- imaging modalities
- medical imaging
- magnetic resonance
- clustering algorithm
- possibilistic clustering
- cluster centers
- anatomical structures
- gustafson kessel
- cluster analysis
- biomedical images
- feature vectors
- image classification
- cluster validity index
- distance metric
- segmentation of medical images
- neural network
- deformable models
- mr images
- segmentation method
- energy function
- level set
- feature space
- feature extraction
- feature selection