Closed Angle Glaucoma Detection in RetCam Images

被引：12

作者：

Cheng, Jun ^{[1
]}

Liu, Jiang ^{[1
]}

Lee, Beng Hai ^{[1
]}

Wong, Damon Wing Kee ^{[1
]}

Yin, Fengshou ^{[1
]}

Aung, Tin ^{[2
]}

Baskaran, Mani ^{[2
]}

Shamira, Perera ^{[2
]}

Wong, Tien Yin ^{[2
,3
]}

机构：

[1] ASTAR, Inst Infocomm Res, 1 Fusionopolis Way,21-01 Connexis, Singapore 138632, Singapore

[2] Singapore Eye Res Inst, Singapore, Singapore

[3] Natl Univ Singapore, Singapore 117548, Singapore

来源：

2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2010年

关键词：

D O I：

10.1109/IEMBS.2010.5627290

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Closed/Open angle glaucoma classification is important for glaucoma diagnosis. RetCam is a new imaging modality that captures the image of iridocorneal angle for the classification. However, manual grading and analysis of the RetCam image is subjective and time consuming. In this paper, we propose a system for intelligent analysis of iridocorneal angle images, which can differentiate closed angle glaucoma from open angle glaucoma automatically. Two approaches are proposed for the classification and their performances are compared. The experimental results show promising results.

引用

页码：4096 / 4099

页数：4