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Abstract #46239 Published in IGR 13-2
Closed angle glaucoma detection in RetCam images
Cheng J; Liu J; Lee BH; Wong DW; Yin F; Aung T; Baskaran M; Shamira P; Yin Wong TConference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2010; 2010: 4096-4099
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.
J. Cheng. Institute for Infocomm Research, A*STAR, 1 Fusionopolis Way, #21-01 Connexis, Singapore 138632. Email: jcheng@i2r.a-star.edu.sg
Classification:
6.8.1 Anterior segment (Part of: 6 Clinical examination methods > 6.8 Photography)
6.9.5 Other (Part of: 6 Clinical examination methods > 6.9 Computerized image analysis)
2.4 Anterior chamber angle (Part of: 2 Anatomical structures in glaucoma)