A study on automated segmentation of retinal layers in optical coherence tomography images

Lua Ngo, Geown Yih, Seungbae Ji, Jae Ho Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The great achievements in both advanced optical coherence tomography (OCT) technique and computational methods contribute an undeniable tools in clinical diagnosis, especially in ophthalmological diseases diagnosis. Motived to catch up the state of art, the contemporary OCT image segmentation methods widely applied are reviewed and systematically summarized.

Original languageEnglish
Title of host publication4th International Winter Conference on Brain-Computer Interface, BCI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781467378413
DOIs
Publication statusPublished - 2016 Apr 20
Event4th International Winter Conference on Brain-Computer Interface, BCI 2016 - Gangwon Province, Korea, Republic of
Duration: 2016 Feb 222016 Feb 24

Other

Other4th International Winter Conference on Brain-Computer Interface, BCI 2016
CountryKorea, Republic of
CityGangwon Province
Period16/2/2216/2/24

Keywords

  • Biomedical optical imaging
  • Image segmentation
  • Medical image processing
  • Optical coherence tomography
  • Retina

ASJC Scopus subject areas

  • Human-Computer Interaction

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  • Cite this

    Ngo, L., Yih, G., Ji, S., & Han, J. H. (2016). A study on automated segmentation of retinal layers in optical coherence tomography images. In 4th International Winter Conference on Brain-Computer Interface, BCI 2016 [7457465] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWW-BCI.2016.7457465