Please use this identifier to cite or link to this item: https://doi.org/10.1109/IEMBS.2010.5627290
Title: Closed angle glaucoma detection in RetCam images
Authors: Cheng, J.
Liu, J.
Lee, B.H.
Wong, D.W.K.
Yin, F.
Aung, T.
Baskaran, M.
Shamira, P.
Wong, T.Y. 
Issue Date: 2010
Citation: Cheng, J., Liu, J., Lee, B.H., Wong, D.W.K., Yin, F., Aung, T., Baskaran, M., Shamira, P., Wong, T.Y. (2010). Closed angle glaucoma detection in RetCam images. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 : 4096-4099. ScholarBank@NUS Repository. https://doi.org/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. © 2010 IEEE.
Source Title: 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
URI: http://scholarbank.nus.edu.sg/handle/10635/109748
ISBN: 9781424441235
DOI: 10.1109/IEMBS.2010.5627290
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