Conference Proceeding
Authors: Huazhu Fu (Institute for Infocomm Research, A*STAR, Singapore) , Yanwu Xu (Institute for Infocomm Research, A*STAR, Singapore) , Damon Wing Kee Wong (Institute for Infocomm Research, A*STAR, Singapore) , Jiang Liu (Chinese Academy of Sciences, China) , Mani Baskaran (Singapore Eye Research Institute and Singapore National Eye Centre, Singapore) , Shamira A. Perera (Singapore Eye Research Institute and Singapore National Eye Centre, Singapore) , Tin Aung (Singapore Eye Research Institute and Singapore National Eye Centre, Singapore)
In this paper, we propose an automatic anterior chamber angle assessment system for Anterior Segment Optical Coherence Tomography (AS-OCT). In our system, the automatic segmentation method is used to segment the clinical structures, which are then used to recover standard clinical ACA measurements. Our measurements can not only support clinical assessments, but also be utilized as features for detecting anterior angle closure in automatic glaucoma diagnosis.
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How to Cite: Fu, H. , Xu, Y. , Kee Wong, D. W. , Liu, J. , Baskaran, M. , Perera, S. A. & Aung, T. (2016) “Anterior Chamber Angle Assessment System”, Proceedings of the Ophthalmic Medical Image Analysis International Workshop. 3(2016). doi: https://doi.org/10.17077/omia.1059