Comparing neural networks and linear discriminant functions for glaucoma detection using confocal scanning laser ophthalmoscopy of the optic disc

Investigative Ophthalmology and Visual Science

Volumn 43, Issue 11, 2002, Pages 3444-3454

  Bowd, Christopher ^a   Chan, Kwokleung ^a   Zangwill, Linda M ^a   Goldbaum, Michael H ^a   Lee, Te Won ^a   Sejnowski, Terrence J ^a   Weinreb, Robert N ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; AUTOMATION; CELL DIFFERENTIATION; CLASSIFICATION; CONFOCAL LASER MICROSCOPY; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DISCRIMINANT ANALYSIS; GLAUCOMA; HUMAN; MAJOR CLINICAL STUDY; NERVE CELL NETWORK; NERVE FIBER TRANSPORT; NORMAL DISTRIBUTION; OPHTHALMOSCOPY; OPTIC DISK; PARAMETRIC TEST; PERIMETRY; PRIORITY JOURNAL; REACTION OPTIMIZATION; RETINA NERVE CELL; ROC CURVE; VISUAL FIELD DEFECT;

DISCRIMINANT ANALYSIS; GLAUCOMA, OPEN-ANGLE; HUMANS; INTRAOCULAR PRESSURE; LASERS; NEURAL NETWORKS (COMPUTER); OPHTHALMOSCOPY; OPTIC DISK; ROC CURVE;

EID: 0036846761     PISSN: 01460404     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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