Computerized systems for cataract grading

Huiqi Li; Joo Hwee Lim; Jiang Liu; Damon Wing Kee Wong; Ngan Meng Tan; Shijian Lu; Zhuo Zhang; Tien Yin Wong

doi:10.1109/BMEI.2009.5304895

Computerized systems for cataract grading

Huiqi Li, Joo Hwee Lim, Jiang Liu, Damon Wing Kee Wong, Ngan Meng Tan, Shijian Lu, Zhuo Zhang, Tien Yin Wong

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

7 Citations (Scopus)

Abstract

Cataract is the leading cause of blindness worldwide. Two automatic grading systems are presented in this paper for nuclear cataract and cortical cataract diagnosis respectively. Model-based approach was applied to detect anatomical structure in slit-lamp images. Features were extracted based on the lens structure and severity of nuclear cataract was predicted using Support Vector Machines (SVM) regression. For cortical cataract, the opacity was detected using region growing. The seeds were selected by local thresholding and edge detection in radial direction. Cortical cataract was graded based on the area of cortical opacity. Both of the systems were tested by clinical data and results show that the automatic systems can provide objective grading of cataracts.

Original language	English
Title of host publication	Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
DOIs	https://doi.org/10.1109/BMEI.2009.5304895
Publication status	Published - 2009
Externally published	Yes
Event	2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 - Tianjin, China Duration: 17 Oct 2009 → 19 Oct 2009

Publication series

Name	Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

Conference

Conference	2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
Country/Territory	China
City	Tianjin
Period	17/10/09 → 19/10/09

Keywords

Automatic diagnosis
Cortical cataract
Nuclear cataract

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.1109/BMEI.2009.5304895

Cite this

Li, H., Lim, J. H., Liu, J., Wong, D. W. K., Tan, N. M., Lu, S., Zhang, Z., & Wong, T. Y. (2009). Computerized systems for cataract grading. In Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 Article 5304895 (Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009). https://doi.org/10.1109/BMEI.2009.5304895

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title = "Computerized systems for cataract grading",

abstract = "Cataract is the leading cause of blindness worldwide. Two automatic grading systems are presented in this paper for nuclear cataract and cortical cataract diagnosis respectively. Model-based approach was applied to detect anatomical structure in slit-lamp images. Features were extracted based on the lens structure and severity of nuclear cataract was predicted using Support Vector Machines (SVM) regression. For cortical cataract, the opacity was detected using region growing. The seeds were selected by local thresholding and edge detection in radial direction. Cortical cataract was graded based on the area of cortical opacity. Both of the systems were tested by clinical data and results show that the automatic systems can provide objective grading of cataracts.",

keywords = "Automatic diagnosis, Cortical cataract, Nuclear cataract",

author = "Huiqi Li and Lim, {Joo Hwee} and Jiang Liu and Wong, {Damon Wing Kee} and Tan, {Ngan Meng} and Shijian Lu and Zhuo Zhang and Wong, {Tien Yin}",

note = "Copyright: Copyright 2010 Elsevier B.V., All rights reserved.; 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 ; Conference date: 17-10-2009 Through 19-10-2009",

year = "2009",

doi = "10.1109/BMEI.2009.5304895",

language = "English",

isbn = "9781424441341",

series = "Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009",

booktitle = "Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009",

}

Li, H, Lim, JH, Liu, J, Wong, DWK, Tan, NM, Lu, S, Zhang, Z & Wong, TY 2009, Computerized systems for cataract grading. in Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009., 5304895, Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009, 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009, Tianjin, China, 17/10/09. https://doi.org/10.1109/BMEI.2009.5304895

Computerized systems for cataract grading. / Li, Huiqi; Lim, Joo Hwee; Liu, Jiang et al.
Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009. 2009. 5304895 (Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009).

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

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T1 - Computerized systems for cataract grading

AU - Li, Huiqi

AU - Lim, Joo Hwee

AU - Liu, Jiang

AU - Wong, Damon Wing Kee

AU - Tan, Ngan Meng

AU - Lu, Shijian

AU - Zhang, Zhuo

AU - Wong, Tien Yin

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N2 - Cataract is the leading cause of blindness worldwide. Two automatic grading systems are presented in this paper for nuclear cataract and cortical cataract diagnosis respectively. Model-based approach was applied to detect anatomical structure in slit-lamp images. Features were extracted based on the lens structure and severity of nuclear cataract was predicted using Support Vector Machines (SVM) regression. For cortical cataract, the opacity was detected using region growing. The seeds were selected by local thresholding and edge detection in radial direction. Cortical cataract was graded based on the area of cortical opacity. Both of the systems were tested by clinical data and results show that the automatic systems can provide objective grading of cataracts.

AB - Cataract is the leading cause of blindness worldwide. Two automatic grading systems are presented in this paper for nuclear cataract and cortical cataract diagnosis respectively. Model-based approach was applied to detect anatomical structure in slit-lamp images. Features were extracted based on the lens structure and severity of nuclear cataract was predicted using Support Vector Machines (SVM) regression. For cortical cataract, the opacity was detected using region growing. The seeds were selected by local thresholding and edge detection in radial direction. Cortical cataract was graded based on the area of cortical opacity. Both of the systems were tested by clinical data and results show that the automatic systems can provide objective grading of cataracts.

KW - Automatic diagnosis

KW - Cortical cataract

KW - Nuclear cataract

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T3 - Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

BT - Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

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Y2 - 17 October 2009 through 19 October 2009

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Computerized systems for cataract grading

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