Closed Angle Glaucoma Detection in RetCam Images

Closed Angle Glaucoma Detection in RetCam Images
Title:
Closed Angle Glaucoma Detection in RetCam Images
Other Titles:
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
DOI:
10.1109/IEMBS.2010.5627290
Keywords:
Publication Date:
31 August 2010
Citation:
Jun Cheng; Jiang Liu; Beng Hai Lee; Wong, D.W.K.; Fengshou Yin; Tin Aung; Baskaran, M.; Shamira, P.; Tien Yin Wong, "Closed angle glaucoma detection in RetCam images," Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE , vol., no., pp.4096,4099, Aug. 31 2010-Sept. 4 2010 doi: 10.1109/IEMBS.2010.5627290
Abstract:
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.
License type:
PublisherCopyrights
Funding Info:
Description:
ISSN:
1557-170X
ISBN:
978-1-4244-4123-5
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