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

^*此作品的通讯作者

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

7 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
DOI	https://doi.org/10.1109/BMEI.2009.5304895
出版状态	已出版 - 2009
已对外发布	是
活动	2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 - Tianjin, 中国期限: 17 10月 2009 → 19 10月 2009

出版系列

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

会议

会议	2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
国家/地区	中国
市	Tianjin
时期	17/10/09 → 19/10/09

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10.1109/BMEI.2009.5304895

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引用此

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. 在 Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 文章 5304895 (Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009). https://doi.org/10.1109/BMEI.2009.5304895

@inproceedings{3501b0b19f204e339b23794611802d0c,

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}",

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",

note = "2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 ; Conference date: 17-10-2009 Through 19-10-2009",

}

Li, H, Lim, JH, Liu, J, Wong, DWK, Tan, NM, Lu, S, Zhang, Z & Wong, TY 2009, Computerized systems for cataract grading. 在 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, 中国, 17/10/09. https://doi.org/10.1109/BMEI.2009.5304895

Computerized systems for cataract grading. / Li, Huiqi; Lim, Joo Hwee; Liu, Jiang 等.
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).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

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

PY - 2009

Y1 - 2009

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

UR - http://www.scopus.com/inward/record.url?scp=74049107394&partnerID=8YFLogxK

U2 - 10.1109/BMEI.2009.5304895

DO - 10.1109/BMEI.2009.5304895

M3 - Conference contribution

AN - SCOPUS:74049107394

SN - 9781424441341

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

T2 - 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

Y2 - 17 October 2009 through 19 October 2009

ER -

Computerized systems for cataract grading

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