Name
Abstract | ||
|---|---|---|
Sparse learning has been shown to be effective in solving many real-world problems. Finding sparse representations is a fundamentally important topic in many fields of science including signal processing, computer vision, genome study, and medical imaging. One important issue in applying sparse representation is to find the basis to represent the data, especially in computer vision and medical ima... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TMI.2018.2851607 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Dictionaries,Cataracts,Image reconstruction,Testing,Medical diagnostic imaging,Diseases | Journal | 37 |
Issue | ISSN | Citations |
12 | 0278-0062 | 3 |
PageRank | References | Authors |
0.39 | 0 | 1 |