Title | ||
---|---|---|
Order preserving and shape prior constrained intra-retinal layer segmentation in optical coherence tomography. |
Abstract | ||
---|---|---|
We present a probabilistic approach to the segmentation of OCT scans of retinal tissue. By combining discrete exact inference and a global shape prior, accurate segmentations are computed that preserve the physiological order of intra-retinal layers. A major part of the computations can be performed in parallel. The evaluation reveals robustness against speckle noise, shadowing caused by blood vessels, and other scan artifacts. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1007/978-3-642-23626-6_46 | MICCAI (3) |
Keywords | Field | DocType |
retinal tissue,optical coherence tomography,intra-retinal layer,major part,probabilistic approach,global shape,discrete exact inference,intra-retinal layer segmentation,blood vessel,physiological order,accurate segmentation,speckle noise | Computer vision,Optical coherence tomography,Pattern recognition,Segmentation,Computer science,Inference,Robustness (computer science),Artificial intelligence,Probabilistic logic,Retinal,Speckle noise,Computation | Conference |
Volume | Issue | ISSN |
14 | Pt 3 | 0302-9743 |
Citations | PageRank | References |
4 | 0.47 | 3 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fabian Rathke | 1 | 19 | 2.29 |
Stefan Schmidt | 2 | 154 | 10.01 |
Christoph Schnörr | 3 | 3025 | 219.34 |