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.
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© 2011 Springer-Verlag Berlin Heidelberg
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Rathke, F., Schmidt, S., Schnörr, C. (2011). Order Preserving and Shape Prior Constrained Intra-retinal Layer Segmentation in Optical Coherence Tomography. In: Fichtinger, G., Martel, A., Peters, T. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011. MICCAI 2011. Lecture Notes in Computer Science, vol 6893. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23626-6_46
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DOI: https://doi.org/10.1007/978-3-642-23626-6_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23625-9
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