Computer aided detection and classification of Pap smear cell images using principal component analysis.
Ponnusamy SukumarRavi SamikannuPublished in: Int. J. Bio Inspired Comput. (2018)
Keyphrases
- computer aided detection
- principal component analysis
- principal components
- image data
- microscope images
- input image
- image analysis
- image features
- feature space
- three dimensional
- blood cells
- pattern recognition
- fisher linear discriminant
- image registration
- lung nodules
- feature extraction
- region of interest
- machine learning
- microscopy images
- breast cancer
- text classification
- image processing
- feature vectors
- classification accuracy
- segmentation method
- ct scans
- training data
- decision trees
- training set
- ct colonography