Training echo state networks for rotation-invariant bone marrow cell classification.
Philipp KainzHarald BurgsteinerMartin AsslaberHelmut AhammerPublished in: Neural Comput. Appl. (2017)
Keyphrases
- rotation invariant
- echo state networks
- classification procedure
- feature vectors
- bone marrow
- training set
- texture classification
- stem cell
- training samples
- rotation invariance
- pattern recognition
- texture analysis
- recurrent neural networks
- classification accuracy
- texture image retrieval
- gabor filtering
- machine learning
- support vector
- scale invariance
- texture features
- steerable pyramid
- rotation invariant texture classification
- texture images
- zernike moments
- image classification
- gabor filters
- similarity measure
- feature extraction
- feature selection
- neural network