Segmentation of M-FISH Images for Improved Classification of Chromosomes With an Adaptive Fuzzy C-means Clustering Algorithm.
Hyohoon CaoH. DengYu-Ping WangPublished in: IEEE Trans. Fuzzy Syst. (2012)
Keyphrases
- image classification
- segmentation algorithm
- pigmented skin lesions
- segmentation method
- test images
- image analysis
- image data
- skin lesion
- accurate segmentation
- edge detection
- input image
- image segmentation
- grey level co occurrence matrix
- fish species
- image regions
- image features
- image registration
- segmented images
- segmentation errors
- microscopy images
- region growing
- machine learning
- adaptive thresholding
- segmentation accuracy
- text classification
- ground truth
- object recognition
- pattern recognition
- multiscale
- genetic algorithm
- medical images
- image retrieval
- fuzzy c means clustering algorithm
- cell nuclei
- neural network
- unsupervised learning
- feature selection
- image processing
- image segments
- training set
- supervised learning
- level set
- model selection