Classification of Endomicroscopic Images of the Lung Based on Random Subwindows and Extra-Trees.
Chesner DésirCaroline PetitjeanLaurent HeutteMathieu SalaünLuc ThibervillePublished in: IEEE Trans. Biomed. Eng. (2012)
Keyphrases
- high resolution computed tomography
- image classification
- decision trees
- image analysis
- image data
- image database
- ground truth
- computed tomography images
- pattern recognition
- input image
- lung disease
- pigmented skin lesions
- chest radiographs
- image registration
- image collections
- three dimensional
- support vector
- preprocessing stage
- similarity measure
- feature vectors
- feature extraction
- hyperspectral images
- image set
- sliding window
- feature points
- text classification
- training data
- machine learning
- classification accuracy
- image retrieval
- ct images
- accurate segmentation
- skin lesion
- lung nodules
- image features
- object recognition
- feature space
- feature selection