Name
Abstract | ||
|---|---|---|
Optical coherence tomography is an immersive technique for depth analysis of retinal layers. Automatic choroid layer segmentation is a challenging task because of the low contrast inputs. Existing methodologies carried choroid layer segmentation manually or semi-automatically. The authors proposed automated choroid layer segmentation based on normalised cut algorithm, which aims at extracting the ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-ipr.2017.0273 | IET Image Processing |
Keywords | Field | DocType |
eye,graph theory,image segmentation,medical image processing | Cut,Computer vision,Optical coherence tomography,Normalization (statistics),Pattern recognition,Segmentation,Image segmentation,Choroid,Artificial intelligence,Graph partition,Mathematics,Approximation error | Journal |
Volume | Issue | ISSN |
12 | 1 | 1751-9659 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saleha Masood | 1 | 0 | 0.68 |
| Bin Sheng | 2 | 368 | 61.19 |
| Ping Li | 3 | 202 | 40.76 |
| Ruimin Shen | 4 | 39 | 4.73 |
| Ruogu Fang | 5 | 287 | 21.78 |
| Qiang Wu | 6 | 13 | 2.91 |