Unsupervised detection of density changes through principal component analysis for lung lesion classification.
Stelmo Magalhães Barros NettoAristófanes Corrêa SilvaAnselmo Cardoso de PaivaRodolfo Acatauassu NunesMarcelo GattassPublished in: Multim. Tools Appl. (2017)
Keyphrases
- principal component analysis
- lung disease
- pattern recognition
- feature space
- unsupervised learning
- supervised classification
- partially supervised
- feature extraction
- unsupervised classification
- supervised learning
- machine learning
- detection algorithm
- neyman pearson
- dimension reduction
- dimensionality reduction
- support vector
- text classification
- independent component analysis
- classification accuracy
- breast tissue
- feature set
- detection method
- classification method
- decision trees
- automated detection
- feature selection
- model selection
- digital mammograms
- feature reduction
- image analysis
- lung cancer
- automatic detection