Nuclei-Based Features for Uterine Cervical Cancer Histology Image Analysis With Fusion-Based Classification.
Peng GuoKoyel BanerjeeR. Joe StanleyL. Rodney LongSameer K. AntaniGeorge R. ThomaRosemary ZunaShelliane R. FrazierRandy H. MossWilliam V. StoeckerPublished in: IEEE J. Biomed. Health Informatics (2016)
Keyphrases
- cervical cancer
- image analysis
- classification accuracy
- computer aided diagnosis
- feature vectors
- feature set
- feature extraction
- pattern recognition
- classification method
- svm classifier
- feature space
- feature level fusion
- classification process
- classification models
- extracted features
- feature representation
- benchmark datasets
- support vector
- image classification
- machine learning
- class labels
- feature selection
- image features
- image processing
- feature selection algorithms
- brain image analysis
- computer vision
- decision trees
- computer aided
- high dimensionality
- support vector machine svm
- multispectral
- multiple features
- supervised learning
- fractal dimensions
- training data
- feature values
- high resolution
- eeg signals
- image registration
- data fusion
- remote sensing
- texture classification
- texture analysis
- classification algorithm