DocumentCode :
2484234
Title :
Automatic glaucoma diagnosis from fundus image
Author :
Liu, J. ; Yin, F.S. ; Wong, D.W.K. ; Zhang, Z. ; Tan, N.M. ; Cheung, C.Y. ; Baskaran, M. ; Aung, T. ; Wong, T.Y.
Author_Institution :
Inst. for Infocomm Res., A*STAR, Singapore, Singapore
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
3383
Lastpage :
3386
Abstract :
Glaucoma is currently diagnosed by glaucoma specialists using specialized imaging devices like HRT and OCT. Fundus imaging is a modality widely used in primary healthcare. An automatic glaucoma diagnosis system based on fundus image can be deployed to primary healthcare clinics and has potential for early disease diagnosis. A mass glaucoma screening program can also be facilitated using such a system. We present an automatic fundus image based cup-to-disc ratio measurement system; and demonstrate its potential for automatic objective glaucoma diagnosis and screening. It provides strong support to use fundus image as the modality for automatic glaucoma diagnosis.
Keywords :
biomedical optical imaging; diseases; medical image processing; vision defects; HRT; OCT; automatic glaucoma diagnosis; cup-disc ratio measurement system; early disease diagnosis; fundus image; primary healthcare clinics; Biomedical optical imaging; Image segmentation; Optical imaging; Optical receivers; Optical sensors; Retina; Automation; Fundus Oculi; Glaucoma; Humans; Mass Screening;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6090916
Filename :
6090916
Link To Document :
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