Name
Title | ||
|---|---|---|
Noise-Powered Disentangled Representation for Unsupervised Speckle Reduction of Optical Coherence Tomography Images |
Abstract | ||
|---|---|---|
Due to its noninvasive character, optical coherence tomography (OCT) has become a popular diagnostic method in clinical settings. However, the low-coherence interferometric imaging procedure is inevitably contaminated by heavy speckle noise, which impairs both visual quality and diagnosis of various ocular diseases. Although deep learning has been applied for image denoising and achieved promising... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TMI.2020.3045207 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Noise measurement,Speckle,Generators,Noise reduction,Image reconstruction,Image denoising,Generative adversarial networks | Journal | 40 |
Issue | ISSN | Citations |
10 | 0278-0062 | 1 |
PageRank | References | Authors |
0.36 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongqiang Huang | 1 | 7 | 2.82 |
| Wenjun Xia | 2 | 10 | 4.83 |
| Zexin Lu | 3 | 6 | 2.76 |
| Yan Liu | 4 | 197 | 30.85 |
| Hu Chen | 5 | 73 | 5.73 |
| Jiliu Zhou | 6 | 450 | 58.21 |
| Leyuan Fang | 7 | 116 | 11.15 |
| Yi Zhang | 8 | 118 | 7.86 |