Nucleus Classification and Recognition of Uterine Cervical Pap-Smears Using FCM Clustering Algorithm.
Kwang-Baek KimSungshin KimGwang-Ha KimPublished in: ICANNGA (2) (2007)
Keyphrases
- cervical cancer
- clustering algorithm
- pattern recognition
- fuzzy c means
- feature extraction
- automatic recognition
- object classification
- classification method
- classification algorithm
- classification scheme
- decision trees
- recognition rate
- computer aided diagnosis
- recognition process
- handwritten digits
- text classification
- classification accuracy
- correct recognition
- support vector machine svm
- unsupervised learning
- feature selection
- support vector
- machine learning
- neural network
- feature vectors
- fuzzy clustering
- pattern classification
- spectral clustering
- recognition accuracy
- supervised learning
- k means
- training set
- object recognition
- clustering analysis
- support vector machine
- preprocessing stage
- fuzzy c means algorithm
- fuzzy c means clustering algorithm
- image classification