Please use this identifier to cite or link to this item:
|Title:||Convex hull based neuro-retinal optic cup ellipse optimization in glaucoma diagnosis|
|Citation:||Zhang, Z., Liu, J., Cherian, N.S., Sun, Y., Lim, J.H., Wong, W.K., Tan, N.M., Lu, S., Li, H., Wong, T.Y. (2009). Convex hull based neuro-retinal optic cup ellipse optimization in glaucoma diagnosis. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 : 1441-1444. ScholarBank@NUS Repository. https://doi.org/10.1109/IEMBS.2009.5332913|
|Abstract:||Glaucoma is the second leading cause of blindness. Glaucoma can be diagnosed through measurement of neuro-retinal optic cup-to-disc ratio (CDR). Automatic calculation of optic cup boundary is challenging due to the interweavement of blood vessels with the surrounding tissues around the cup. A Convex Hull based Neuro-Retinal Optic Cup Ellipse Optimization algorithm improves the accuracy of the boundary estimation. The algorithm's effectiveness is demonstrated on 70 clinical patient's data set collected from Singapore Eye Research Institute. The root mean squared error of the new algorithm is 43% better than the ARGALI system which is the state-of-the-art. This further leads to a large clinical evaluation of the algorithm involving 15 thousand patients from Australia and Singapore. ©2009 IEEE.|
|Source Title:||Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jul 16, 2018
WEB OF SCIENCETM
checked on Jun 20, 2018
checked on May 12, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.