Deep learning in the small sample size setting: cascaded feed forward neural networks for medical image segmentation.
Bilwaj GaonkarDavid HovdaNeil MartinLuke MacyszynPublished in: Medical Imaging: Computer-Aided Diagnosis (2016)
Keyphrases
- medical image segmentation
- deep learning
- feed forward neural networks
- small sample size
- sample size
- medical images
- high dimensionality
- linear discriminant analysis
- multi layer
- back propagation
- neural network
- high dimensional
- face recognition
- unsupervised learning
- artificial neural networks
- machine learning
- feed forward
- hidden layer
- feature selection
- high dimensional data
- dimensionality reduction
- image segmentation
- model selection
- basis functions
- feature space
- linear combination
- computer vision
- generative model
- radial basis function
- recurrent neural networks
- pattern recognition
- similarity measure