Semi-automated segmentation of Symptomatic Exudate-Associated Derangements (SEADs) in 3D OCT using layer segmentation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00175527" target="_blank" >RIV/68407700:21230/10:00175527 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Semi-automated segmentation of Symptomatic Exudate-Associated Derangements (SEADs) in 3D OCT using layer segmentation
Original language description
We present a novel two step method to segment retinal pathologies related to the so called wet age-related macular degeneration from 3D spectral optical coherence tomography images. In the first step we segment three retinal layers by an optimal surfacealgorithm. The identified layers are used in the second step to constrain the segmentation of fluid filled retinal regions using GraphCut. We propose a new regularization energy term for GraphCut, that permits long range effect of the manual initialization
Czech name
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Czech description
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Project
<a href="/en/project/GA102%2F07%2F1317" target="_blank" >GA102/07/1317: Methods for Visual Recognition of Large Collections of Non-rigid Objects</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Analysis of Biomedical Signals and Images - Proceedings of Biosignal 2010
ISBN
978-80-214-4105-7
ISSN
1211-412X
e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
VUTIUM Press
Place of publication
Brno
Event location
Brno
Event date
Jun 27, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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