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Convolutional Sparse Coding for Compressed Sensing …
- https://pubmed.ncbi.nlm.nih.gov/30908204/
- In this paper, inspired by several successful applications of CSC in the field of signal processing, we explore the potential of CSC in sparse-view CT reconstruction. By directly working on the whole image, without the necessity of dividing the image into overlapped …
Cell recognition based on topological sparse ... - BMC …
- https://bmcmedimaging.biomedcentral.com/articles/10.1186/s12880-015-0087-7
- Experimental results show that the proposed topological sparse coding technique is valid and effective for extracting new features, and the proposed system was …
Medical image registration using sparse coding and …
- https://pubmed.ncbi.nlm.nih.gov/23366098/
- We propose an efficient medical image registration method based on sparse coding and belief propagation for medical CT imaging. We used 3-D image blocks as features, and …
Medical Image Analysis
- http://www.vision.jhu.edu/assets/SchwabMIA18.pdf
- Diffusion magnetic resonance imaging (dMRI) is a medical imaging modality used to analyze neuroanatomical biomarkers for brain diseases such as Alzheimer’s. dMRI are …
Deep Learning, Sparse Coding, and SVM …
- https://link.springer.com/chapter/10.1007/978-3-319-24888-2_15
- This work presents an approach for melanoma recognition in dermoscopy images that combines deep …
Sparse-Coding-Based Computed Tomography Image …
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3614031/
- Sparse coding is a state-of-the-art technique used to reconstruct a sparse data set from a small number of linear measurements. We propose a …
Convolutional Sparse Coding for Compressed Sensing …
- https://ieeexplore.ieee.org/document/8672945
- Convolutional Sparse Coding for Compressed Sensing CT Reconstruction. Abstract: Over the past few years, dictionary learning (DL)-based methods have been …
Sparse-Coding-Based Computed …
- https://www.hindawi.com/journals/tswj/2013/145198/
- Sparse coding is a state-of-the-art technique used to reconstruct a sparse data set from a small number of linear measurements. We propose a reconstruction method …
Sparse approximation - Wikipedia
- https://en.wikipedia.org/wiki/Sparse_approximation
- Sparse approximation(also known as sparse representation) theory deals with sparsesolutions for systems of linear equations. Techniques for finding these solutions …
Sparse Coding Neural Networks | Baeldung on …
- https://www.baeldung.com/cs/sparse-coding
- In the case of sparse coding, the data is first translated into a high-dimensional feature space, where the basis functions are then employed to …
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