DocumentCode :
1589804
Title :
A Computer-based Diagnosis System for Early Glaucoma Screening
Author :
Song, Xiaoyang ; Song, Keou ; Chen, Yazhu
Author_Institution :
Inst. of Biomed. Instrum., Shanghai Jiao Tong Univ.
fYear :
2006
Firstpage :
6608
Lastpage :
6611
Abstract :
Glaucoma is a serious eye disease and the major cause of blindness worldwide. Glaucoma screening is a useful way in detecting the disease at an early stage. This paper presents a computer-based glaucoma screening system in which optic nerve defects detection, visual field examination, and expert system rules are combined to increase the sensitivity and specificity. Several fundus image processing methods are used and a histogram model is given especially for combed hair retinal nerve fiber layer defect. A visual field test performed on computer monitor is adopted to reduce the cost for other perimetry equipments. The assistant diagnostic module can give a primary diagnosis based on a set of fuzzy rules. The system is cost effective and suitable for detecting early stage glaucoma, especially for large-scale screening
Keywords :
biomedical optical imaging; diseases; eye; fuzzy set theory; medical image processing; neurophysiology; vision defects; combed hair retinal nerve fiber layer defect; computer-based diagnosis system; early glaucoma screening; expert system rules; eye disease; fundus image processing methods; fuzzy rules; histogram model; optic nerve defects detection; visual field examination; Blindness; Costs; Diseases; Expert systems; Histograms; Image processing; Optical computing; Optical detectors; Optical sensors; Sensitivity and specificity; fundus image; glaucoma screening; histogram specification; visual field;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
Type :
conf
DOI :
10.1109/IEMBS.2005.1616016
Filename :
1616016
Link To Document :
بازگشت