Advancing Low-Rank and Local Low-Rank Matrix Approximation in Medical Imaging: A Systematic Literature Review and Future Directions.
Sisipho HamlomoMarcellin AtemkengYusuf BrimaChuneeta NunhokeeJeremy BaxterPublished in: CoRR (2024)
Keyphrases
- future directions
- literature review
- medical imaging
- low rank
- low rank matrix approximation
- matrix completion
- low rank approximation
- medical images
- nuclear norm
- x ray
- missing data
- lessons learned
- low rank matrices
- case study
- convex optimization
- linear combination
- matrix factorization
- image registration
- rank minimization
- semi supervised
- singular value decomposition
- low rank matrix
- image processing
- image segmentation
- kernel matrix
- high order
- computer vision
- singular values
- high dimensional data
- norm minimization
- minimization problems
- collaborative filtering
- higher order
- eigendecomposition
- small number
- remote sensing
- incomplete data