Name
Abstract | ||
|---|---|---|
Optical coherence tomography (OCT) is a modern technique that allows for in vivo, fast, high-resolution 3D imaging. OCT can be efficiently used in eye research and diagnostics, when retinal images are processed to extract borders of retinal layers. In this paper, we present two novel algorithms for delineation of three main borders in rodent retinal images. The first, fast algorithm is based on row projections in a sliding window. It provides initial borders for a slower but more precise variational algorithm that iteratively refines the borders. The results obtained by the two algorithms are quantitatively evaluated by comparison to the borders manually extracted in a set of retinal images. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/s00138-011-0343-y | Mach. Vis. Appl. |
Keywords | Field | DocType |
Optical coherence tomography,Retinal images,Retinal layers,Segmentation,Variational methods | Computer vision,Optical coherence tomography,Sliding window protocol,Pattern recognition,Computer science,Segmentation,Artificial intelligence,Retinal | Journal |
Volume | Issue | ISSN |
23 | 6 | 0932-8092 |
Citations | PageRank | References |
1 | 0.36 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| József Molnár | 1 | 31 | 3.95 |
| Chetverikov, D. | 2 | 956 | 99.89 |
| Delia Cabrera DeBuc | 3 | 17 | 1.70 |
| Wei Gao | 4 | 1 | 0.36 |
| Gábor Márk Somfai | 5 | 11 | 1.54 |