Automatic glaucoma diagnosis from fundus image

J. Liu; F. S. Yin; D. W.K. Wong; Z. Zhang; N. M. Tan; C. Y. Cheung; M. Baskaran; T. Aung; T. Y. Wong

doi:10.1109/IEMBS.2011.6090916

Automatic glaucoma diagnosis from fundus image

J. Liu
, F. S. Yin
, D. W.K. Wong
, Z. Zhang
, N. M. Tan
, C. Y. Cheung
, M. Baskaran
, T. Aung
, T. Y. Wong

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

17 Citations (Scopus)

Abstract

Glaucoma is currently diagnosed by glaucoma specialists using specialized imaging devices like HRT and OCT. Fundus imaging is a modality widely used in primary healthcare. An automatic glaucoma diagnosis system based on fundus image can be deployed to primary healthcare clinics and has potential for early disease diagnosis. A mass glaucoma screening program can also be facilitated using such a system. We present an automatic fundus image based cup-to-disc ratio measurement system; and demonstrate its potential for automatic objective glaucoma diagnosis and screening. It provides strong support to use fundus image as the modality for automatic glaucoma diagnosis.

Original language	English
Title of host publication	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages	3383-3386
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2011.6090916
Publication status	Published - 2011
Externally published	Yes
Event	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States Duration: 30 Aug 2011 → 3 Sept 2011

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)	1557-170X

Conference

Conference	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Country/Territory	United States
City	Boston, MA
Period	30/08/11 → 3/09/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Access to Document

10.1109/IEMBS.2011.6090916

Cite this

Liu, J., Yin, F. S., Wong, D. W. K., Zhang, Z., Tan, N. M., Cheung, C. Y., Baskaran, M., Aung, T., & Wong, T. Y. (2011). Automatic glaucoma diagnosis from fundus image. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 (pp. 3383-3386). Article 6090916 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/IEMBS.2011.6090916

@inproceedings{c92e59f9e8a247d981d64bfc9601ab4f,

title = "Automatic glaucoma diagnosis from fundus image",

abstract = "Glaucoma is currently diagnosed by glaucoma specialists using specialized imaging devices like HRT and OCT. Fundus imaging is a modality widely used in primary healthcare. An automatic glaucoma diagnosis system based on fundus image can be deployed to primary healthcare clinics and has potential for early disease diagnosis. A mass glaucoma screening program can also be facilitated using such a system. We present an automatic fundus image based cup-to-disc ratio measurement system; and demonstrate its potential for automatic objective glaucoma diagnosis and screening. It provides strong support to use fundus image as the modality for automatic glaucoma diagnosis.",

author = "J. Liu and Yin, \{F. S.\} and Wong, \{D. W.K.\} and Z. Zhang and Tan, \{N. M.\} and Cheung, \{C. Y.\} and M. Baskaran and T. Aung and Wong, \{T. Y.\}",

note = "Copyright: Copyright 2012 Elsevier B.V., All rights reserved.; 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 ; Conference date: 30-08-2011 Through 03-09-2011",

year = "2011",

doi = "10.1109/IEMBS.2011.6090916",

language = "English",

isbn = "9781424441211",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

pages = "3383--3386",

booktitle = "33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011",

}

Liu, J, Yin, FS, Wong, DWK, Zhang, Z, Tan, NM, Cheung, CY, Baskaran, M, Aung, T & Wong, TY 2011, Automatic glaucoma diagnosis from fundus image. in 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011., 6090916, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 3383-3386, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, Boston, MA, United States, 30/08/11. https://doi.org/10.1109/IEMBS.2011.6090916

Automatic glaucoma diagnosis from fundus image. / Liu, J.; Yin, F. S.; Wong, D. W.K. et al.
33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 3383-3386 6090916 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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AU - Wong, D. W.K.

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AU - Tan, N. M.

AU - Cheung, C. Y.

AU - Baskaran, M.

AU - Aung, T.

AU - Wong, T. Y.

PY - 2011

Y1 - 2011

N2 - Glaucoma is currently diagnosed by glaucoma specialists using specialized imaging devices like HRT and OCT. Fundus imaging is a modality widely used in primary healthcare. An automatic glaucoma diagnosis system based on fundus image can be deployed to primary healthcare clinics and has potential for early disease diagnosis. A mass glaucoma screening program can also be facilitated using such a system. We present an automatic fundus image based cup-to-disc ratio measurement system; and demonstrate its potential for automatic objective glaucoma diagnosis and screening. It provides strong support to use fundus image as the modality for automatic glaucoma diagnosis.

AB - Glaucoma is currently diagnosed by glaucoma specialists using specialized imaging devices like HRT and OCT. Fundus imaging is a modality widely used in primary healthcare. An automatic glaucoma diagnosis system based on fundus image can be deployed to primary healthcare clinics and has potential for early disease diagnosis. A mass glaucoma screening program can also be facilitated using such a system. We present an automatic fundus image based cup-to-disc ratio measurement system; and demonstrate its potential for automatic objective glaucoma diagnosis and screening. It provides strong support to use fundus image as the modality for automatic glaucoma diagnosis.

UR - https://www.scopus.com/pages/publications/84862611803

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DO - 10.1109/IEMBS.2011.6090916

M3 - Conference contribution

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AN - SCOPUS:84862611803

SN - 9781424441211

T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

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T2 - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011

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ER -

Liu J, Yin FS, Wong DWK, Zhang Z, Tan NM, Cheung CY et al. Automatic glaucoma diagnosis from fundus image. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 3383-3386. 6090916. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/IEMBS.2011.6090916

Automatic glaucoma diagnosis from fundus image

Abstract

Publication series

Conference

UN SDGs

ASJC Scopus subject areas

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