Please use this identifier to cite or link to this item: https://doi.org/10.1109/IEMBS.2010.5626467
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dc.titleAutomatic detection of posterior subcapsular cataract opacity for cataract screening
dc.contributor.authorLi, H.
dc.contributor.authorLim, J.H.
dc.contributor.authorLiu, J.
dc.contributor.authorWong, D.W.K.
dc.contributor.authorFoo, Y.
dc.contributor.authorSun, Y.
dc.contributor.authorWong, T.Y.
dc.date.accessioned2014-06-19T03:01:06Z
dc.date.available2014-06-19T03:01:06Z
dc.date.issued2010
dc.identifier.citationLi, H., Lim, J.H., Liu, J., Wong, D.W.K., Foo, Y., Sun, Y., Wong, T.Y. (2010). Automatic detection of posterior subcapsular cataract opacity for cataract screening. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 : 5359-5362. ScholarBank@NUS Repository. https://doi.org/10.1109/IEMBS.2010.5626467
dc.identifier.isbn9781424441235
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69470
dc.description.abstractCataract is the leading cause of blindness and posterior subcapsular cataract (PSC) leads to significant visual impairment. An automatic approach for detecting PSC opacity in retro-illumination images is investigated. The features employed include intensity, edge, size and spatial location. The system was tested using 441 images. The automatic detection was compared with the human expert. The sensitivity and specificity are 82.6% and 80% respectively. The preliminary research indicates it is feasible to apply automatic detection in the clinical screening of PSC in the future. © 2010 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/IEMBS.2010.5626467
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.contributor.departmentOPHTHALMOLOGY
dc.description.doi10.1109/IEMBS.2010.5626467
dc.description.sourcetitle2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
dc.description.page5359-5362
dc.identifier.isiut000287964005189
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