Automated tumor segmentation using kernel sparse representations.
Jayaraman J. ThiagarajanDeepta RajanKarthikeyan Natesan RamamurthyDavid H. FrakesAndreas SpaniasPublished in: BIBE (2012)
Keyphrases
- sparse representation
- tumor segmentation
- regularized least squares
- dictionary learning
- sparse coding
- image classification
- face recognition
- brain tumors
- joint optimization
- sparse reconstruction
- compressive sensing
- high dimensional data
- active contour model
- kernel function
- dimensionality reduction
- feature space
- image representation
- data sets
- machine learning
- signal processing
- reproducing kernel hilbert space
- image processing
- neural network