title: Mixture model-based approach for optic cup segmentation.
abstract: Glaucoma is a leading cause of blindness with permanent damage to optic nerve head. ARGALI is an automated computer-aided diagnosis system designed for glaucoma detection via optic cup-to-disc ratio assessment. It employs several methods to determine the optic cup and disc from retinal images.
authors.affiliation: Institute for Infocomm Research, A*STAR, Singapore. nmtan@i2a.a-star.edu.sg
authors.forename: N M
authors.initials: NM
authors.lastname: Tan
authors.forename: J
authors.initials: J
authors.lastname: Liu
authors.forename: D K
authors.initials: DK
authors.lastname: Wong
authors.forename: F
authors.initials: F
authors.lastname: Yin
authors.forename: J H
authors.initials: JH
authors.lastname: Lim
authors.forename: T Y
authors.initials: TY
authors.lastname: Wong
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008954:Models, Biological; D015233:Models, Statistical; D009898:Optic Disk / Q000033:anatomy & histology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D042262:Retinoscopy / Q000379:methods*; D012680:Sensitivity and Specificity