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

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

doi:10.1109/IWW-BCI.2016.7457465

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 proceeding › Conference contribution

4 Citations (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 language	English
Title of host publication	4th International Winter Conference on Brain-Computer Interface, BCI 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467378413
DOIs	https://doi.org/10.1109/IWW-BCI.2016.7457465
Publication status	Published - 2016 Apr 20
Event	4th International Winter Conference on Brain-Computer Interface, BCI 2016 - Gangwon Province, Korea, Republic of Duration: 2016 Feb 22 → 2016 Feb 24

Publication series

Name	4th International Winter Conference on Brain-Computer Interface, BCI 2016

Other

Other	4th International Winter Conference on Brain-Computer Interface, BCI 2016
Country/Territory	Korea, Republic of
City	Gangwon Province
Period	16/2/22 → 16/2/24

Bibliographical note

Funding Information:
This work was supported in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF-2013R1A1A2062448).

Publisher Copyright:
© 2016 IEEE.

Keywords

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

ASJC Scopus subject areas

Human-Computer Interaction

Access to Document

10.1109/IWW-BCI.2016.7457465

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 Article 7457465 (4th International Winter Conference on Brain-Computer Interface, BCI 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWW-BCI.2016.7457465

A study on automated segmentation of retinal layers in optical coherence tomography images. / Ngo, Lua; Yih, Geown; Ji, Seungbae et al.
4th International Winter Conference on Brain-Computer Interface, BCI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7457465 (4th International Winter Conference on Brain-Computer Interface, BCI 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ngo, L, Yih, G, Ji, S & Han, JH 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, 4th International Winter Conference on Brain-Computer Interface, BCI 2016, Institute of Electrical and Electronics Engineers Inc., 4th International Winter Conference on Brain-Computer Interface, BCI 2016, Gangwon Province, Korea, Republic of, 16/2/22. https://doi.org/10.1109/IWW-BCI.2016.7457465

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

@inproceedings{6d34b3a9dcb349e5b2c9ea0f9d9a1c54,

title = "A study on automated segmentation of retinal layers in optical coherence tomography images",

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.",

keywords = "Biomedical optical imaging, Image segmentation, Medical image processing, Optical coherence tomography, Retina",

author = "Lua Ngo and Geown Yih and Seungbae Ji and Han, {Jae Ho}",

note = "Funding Information: This work was supported in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF-2013R1A1A2062448). Publisher Copyright: {\textcopyright} 2016 IEEE.; 4th International Winter Conference on Brain-Computer Interface, BCI 2016 ; Conference date: 22-02-2016 Through 24-02-2016",

year = "2016",

month = apr,

day = "20",

doi = "10.1109/IWW-BCI.2016.7457465",

language = "English",

series = "4th International Winter Conference on Brain-Computer Interface, BCI 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "4th International Winter Conference on Brain-Computer Interface, BCI 2016",

}

TY - GEN

T1 - A study on automated segmentation of retinal layers in optical coherence tomography images

AU - Ngo, Lua

AU - Yih, Geown

AU - Ji, Seungbae

AU - Han, Jae Ho

N1 - Funding Information: This work was supported in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF-2013R1A1A2062448). Publisher Copyright: © 2016 IEEE.

PY - 2016/4/20

Y1 - 2016/4/20

N2 - 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.

AB - 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.

KW - Biomedical optical imaging

KW - Image segmentation

KW - Medical image processing

KW - Optical coherence tomography

KW - Retina

UR - http://www.scopus.com/inward/record.url?scp=84969217922&partnerID=8YFLogxK

U2 - 10.1109/IWW-BCI.2016.7457465

DO - 10.1109/IWW-BCI.2016.7457465

M3 - Conference contribution

AN - SCOPUS:84969217922

T3 - 4th International Winter Conference on Brain-Computer Interface, BCI 2016

BT - 4th International Winter Conference on Brain-Computer Interface, BCI 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th International Winter Conference on Brain-Computer Interface, BCI 2016

Y2 - 22 February 2016 through 24 February 2016

ER -

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

Abstract

Publication series

Other

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this