A cloud-based system for automatic glaucoma screening

Fengshou Yin; Damon Wing Kee Wong; Ying Quan; Ai Ping Yow; Ngan Meng Tan; Kavitha Gopalakrishnan; Beng Hai Lee; Yanwu Xu; Zhuo Zhang; Jun Cheng; Jiang Liu

doi:10.1109/EMBC.2015.7318679

A cloud-based system for automatic glaucoma screening

Fengshou Yin
, Damon Wing Kee Wong
, Ying Quan
, Ai Ping Yow
, Ngan Meng Tan
, Kavitha Gopalakrishnan
, Beng Hai Lee
, Yanwu Xu
, Zhuo Zhang
, Jun Cheng
, Jiang Liu

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

6 Citations (Scopus)

Abstract

In recent years, there has been increasing interest in the use of automatic computer-based systems for the detection of eye diseases including glaucoma. However, these systems are usually standalone software with basic functions only, limiting their usage in a large scale. In this paper, we introduce an online cloud-based system for automatic glaucoma screening through the use of medical image-based pattern classification technologies. It is designed in a hybrid cloud pattern to offer both accessibility and enhanced security. Raw data including patient's medical condition and fundus image, and resultant medical reports are collected and distributed through the public cloud tier. In the private cloud tier, automatic analysis and assessment of colour retinal fundus images are performed. The ubiquitous anywhere access nature of the system through the cloud platform facilitates a more efficient and cost-effective means of glaucoma screening, allowing the disease to be detected earlier and enabling early intervention for more efficient intervention and disease management.

Original language	English
Title of host publication	2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1596-1599
Number of pages	4
ISBN (Electronic)	9781424492718
DOIs	https://doi.org/10.1109/EMBC.2015.7318679
Publication status	Published - 4 Nov 2015
Externally published	Yes
Event	37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy Duration: 25 Aug 2015 → 29 Aug 2015

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume	2015-November
ISSN (Print)	1557-170X

Conference

Conference	37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Country/Territory	Italy
City	Milan
Period	25/08/15 → 29/08/15

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/EMBC.2015.7318679

Cite this

Yin, F., Wong, D. W. K., Quan, Y., Yow, A. P., Tan, N. M., Gopalakrishnan, K., Lee, B. H., Xu, Y., Zhang, Z., Cheng, J., & Liu, J. (2015). A cloud-based system for automatic glaucoma screening. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 (pp. 1596-1599). Article 7318679 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2015-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2015.7318679

Yin, Fengshou ; Wong, Damon Wing Kee ; Quan, Ying et al. / A cloud-based system for automatic glaucoma screening. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1596-1599 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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title = "A cloud-based system for automatic glaucoma screening",

abstract = "In recent years, there has been increasing interest in the use of automatic computer-based systems for the detection of eye diseases including glaucoma. However, these systems are usually standalone software with basic functions only, limiting their usage in a large scale. In this paper, we introduce an online cloud-based system for automatic glaucoma screening through the use of medical image-based pattern classification technologies. It is designed in a hybrid cloud pattern to offer both accessibility and enhanced security. Raw data including patient's medical condition and fundus image, and resultant medical reports are collected and distributed through the public cloud tier. In the private cloud tier, automatic analysis and assessment of colour retinal fundus images are performed. The ubiquitous anywhere access nature of the system through the cloud platform facilitates a more efficient and cost-effective means of glaucoma screening, allowing the disease to be detected earlier and enabling early intervention for more efficient intervention and disease management.",

author = "Fengshou Yin and Wong, \{Damon Wing Kee\} and Ying Quan and Yow, \{Ai Ping\} and Tan, \{Ngan Meng\} and Kavitha Gopalakrishnan and Lee, \{Beng Hai\} and Yanwu Xu and Zhuo Zhang and Jun Cheng and Jiang Liu",

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year = "2015",

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day = "4",

doi = "10.1109/EMBC.2015.7318679",

language = "English",

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

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}

Yin, F, Wong, DWK, Quan, Y, Yow, AP, Tan, NM, Gopalakrishnan, K, Lee, BH, Xu, Y, Zhang, Z, Cheng, J & Liu, J 2015, A cloud-based system for automatic glaucoma screening. in 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015., 7318679, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2015-November, Institute of Electrical and Electronics Engineers Inc., pp. 1596-1599, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, 25/08/15. https://doi.org/10.1109/EMBC.2015.7318679

A cloud-based system for automatic glaucoma screening. / Yin, Fengshou; Wong, Damon Wing Kee; Quan, Ying et al.
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1596-1599 7318679 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2015-November).

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

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AU - Yin, Fengshou

AU - Wong, Damon Wing Kee

AU - Quan, Ying

AU - Yow, Ai Ping

AU - Tan, Ngan Meng

AU - Gopalakrishnan, Kavitha

AU - Lee, Beng Hai

AU - Xu, Yanwu

AU - Zhang, Zhuo

AU - Cheng, Jun

AU - Liu, Jiang

PY - 2015/11/4

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N2 - In recent years, there has been increasing interest in the use of automatic computer-based systems for the detection of eye diseases including glaucoma. However, these systems are usually standalone software with basic functions only, limiting their usage in a large scale. In this paper, we introduce an online cloud-based system for automatic glaucoma screening through the use of medical image-based pattern classification technologies. It is designed in a hybrid cloud pattern to offer both accessibility and enhanced security. Raw data including patient's medical condition and fundus image, and resultant medical reports are collected and distributed through the public cloud tier. In the private cloud tier, automatic analysis and assessment of colour retinal fundus images are performed. The ubiquitous anywhere access nature of the system through the cloud platform facilitates a more efficient and cost-effective means of glaucoma screening, allowing the disease to be detected earlier and enabling early intervention for more efficient intervention and disease management.

AB - In recent years, there has been increasing interest in the use of automatic computer-based systems for the detection of eye diseases including glaucoma. However, these systems are usually standalone software with basic functions only, limiting their usage in a large scale. In this paper, we introduce an online cloud-based system for automatic glaucoma screening through the use of medical image-based pattern classification technologies. It is designed in a hybrid cloud pattern to offer both accessibility and enhanced security. Raw data including patient's medical condition and fundus image, and resultant medical reports are collected and distributed through the public cloud tier. In the private cloud tier, automatic analysis and assessment of colour retinal fundus images are performed. The ubiquitous anywhere access nature of the system through the cloud platform facilitates a more efficient and cost-effective means of glaucoma screening, allowing the disease to be detected earlier and enabling early intervention for more efficient intervention and disease management.

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Y2 - 25 August 2015 through 29 August 2015

ER -

Yin F, Wong DWK, Quan Y, Yow AP, Tan NM, Gopalakrishnan K et al. A cloud-based system for automatic glaucoma screening. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1596-1599. 7318679. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2015.7318679

A cloud-based system for automatic glaucoma screening

Abstract

Publication series

Conference

UN SDGs

ASJC Scopus subject areas

Access to Document

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