Mammogram Image Segmentation Using Bioinspired Novel Bat Swarm Clustering.
David González-PatiñoYenny Villuendas-ReyAmadeo José Argüelles-CruzPublished in: Res. Comput. Sci. (2016)
Keyphrases
- image segmentation
- spectral clustering
- unsupervised clustering
- clustering algorithm
- k means
- fuzzy c means clustering
- graph partitioning
- clustering method
- multiscale
- normalized cut
- region growing
- graph cuts
- markov random field
- data clustering
- breast cancer
- particle swarm optimization
- data points
- image segmentations
- biologically inspired
- fuzzy c means
- digital mammography
- fuzzy clustering
- hierarchical clustering
- boundary detection
- segmentation algorithm
- computer vision
- image processing
- image analysis
- data sets
- cluster validation
- probabilistic relaxation
- neural network
- collective behavior
- cooperative
- cluster analysis
- ground truth
- computer aided diagnosis
- categorical data
- unsupervised learning
- optimization algorithm
- high dimensional data
- outlier detection