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 Rathke1192.29
Stefan Schmidt215410.01
Christoph Schnörr33025219.34