Automated Segmentability Index for Layer Segmentation of Macular SD-OCT Images

PURPOSE: To automatically identify which spectral-domain optical coherence tomography (SD-OCT) scans will provide reliable automated layer segmentations for more accurate layer thickness analyses in population studies. METHODS: Six hundred ninety macular SD-OCT image volumes (6.0 × 6.0 × 2.3 mm(3))...

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Bibliografiska uppgifter
Huvudupphovsmän: Lee, Kyungmoo, Buitendijk, Gabriëlle H.S., Bogunovic, Hrvoje, Springelkamp, Henriët, Hofman, Albert, Wahle, Andreas, Sonka, Milan, Vingerling, Johannes R., Klaver, Caroline C.W., Abràmoff, Michael D.
Materialtyp: Online Artikel Text
Språk:English
Publicerad: The Association for Research in Vision and Ophthalmology 2016
Ämnen:
Articles
Länkar:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4824284/
https://www.ncbi.nlm.nih.gov/pubmed/27066311
http://dx.doi.org/10.1167/tvst.5.2.14

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4824284/
https://www.ncbi.nlm.nih.gov/pubmed/27066311
http://dx.doi.org/10.1167/tvst.5.2.14

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