Computer vision-based breast self-examination stroke position and palpation pressure level classification using artificial neural networks and wavelet transforms.
Melvin K. CabatuanElmer P. DadiosRaouf N. Gorgui-NaguibAndreas OikonomouPublished in: EMBC (2012)
Keyphrases
- using artificial neural networks
- wavelet transform
- machine learning
- pattern recognition
- decision trees
- classification accuracy
- feature extraction
- artificial neural networks
- breast cancer diagnosis
- supervised learning
- feature selection
- feature space
- feature vectors
- support vector
- neural network
- augmented reality
- classification method
- fluidized bed
- neural network model
- computer aided
- classification algorithm
- high frequency
- text classification
- image processing
- multiresolution