A novel semi-supervised fuzzy clustering method based on interactive fuzzy satisficing for dental x-ray image segmentation.
Tran Manh TuanTran Thi NganLe Hoang SonPublished in: Appl. Intell. (2016)
Keyphrases
- x ray
- fuzzy clustering method
- fuzzy c means
- fuzzy clustering
- image segmentation
- semi supervised
- fuzzy c means algorithm
- fuzzy similarity
- medical imaging
- intraoperative
- clustering method
- digital x ray images
- x ray images
- membership functions
- electron microscopy
- micro ct
- projection images
- ct scans
- supervised learning
- three dimensional
- clustering algorithm
- computer aided
- fuzzy sets
- transmission electron microscopy
- deformable models
- tomographic images
- image processing
- computer vision
- multi view
- level set
- markov random field
- computer tomography
- pattern recognition
- dual energy
- k means
- active learning
- fuzzy logic
- computational intelligence
- segmentation method
- graph cuts
- unsupervised learning
- active contours
- rough sets
- dissimilarity measure
- segmentation algorithm
- metal oxide
- cluster analysis