An evolutionary Michigan recurrent fuzzy system for nuclei classification in cytological images using nuclear chromatin distribution.
Silvia AlayónJ. I. EstévezJosé F. SigutJosé L. SánchezPedro A. ToledoPublished in: J. Biomed. Informatics (2006)
Keyphrases
- cell nuclei
- image classification
- cancer diagnosis
- three dimensional
- input image
- decision trees
- image database
- microscopic images
- low contrast
- automated analysis
- fuzzy classifier
- microscopy images
- image analysis
- image data
- quantitative analysis
- ground truth
- spatial distribution
- fuzzy logic
- automated detection
- test images
- image retrieval
- microscope images
- feature extraction
- pattern recognition
- image registration
- object recognition
- segmentation method
- image regions
- support vector machine
- fully automatic
- classification accuracy
- feature selection
- feature points
- text classification
- edge detection
- training set
- image segmentation
- image set
- spatial information
- visual features
- automatic recognition
- hyperspectral images
- feature set
- image features
- feature vectors
- neural network
- thematic mapper
- pigmented skin lesions