Segmentation of M-FISH Images for improved classification of chromosomes with an adaptive fuzzy c-means clustering algorithm.
Hongbao CaoYu-Ping WangPublished in: ISBI (2011)
Keyphrases
- image classification
- segmentation algorithm
- pigmented skin lesions
- segmentation method
- test images
- segmentation accuracy
- image analysis
- image data
- input image
- accurate segmentation
- adaptive thresholding
- segmented images
- skin lesion
- edge detection
- segmentation errors
- pattern recognition
- image features
- ground truth
- fuzzy c means clustering algorithm
- fish species
- text classification
- image regions
- microscopy images
- feature selection
- genetic algorithm
- grey level co occurrence matrix
- medical images
- image segments
- data mining
- image registration
- feature vectors
- image retrieval
- machine learning
- mr images
- region growing
- principal component analysis
- supervised learning
- support vector machine
- evolutionary algorithm
- training set
- multiscale
- feature extraction