Breast histopathology using random decision forests-based classification of infrared spectroscopic imaging data.
David M. MayerichMichael J. WalshAndre Kadjacsy-BallaShachi MittalRohit BhargavaPublished in: Medical Imaging: Digital Pathology (2014)
Keyphrases
- infrared
- data sets
- machine learning
- classification accuracy
- multi sensor
- hyperspectral data
- historical data
- automatic target recognition
- training samples
- feature selection
- decision trees
- hyperspectral
- classification models
- visible spectrum
- decision forest
- infrared images
- data mining techniques
- feature vectors
- training set
- feature space