Situation assessment of glaucoma using a hybrid fuzzy neural network

IEEE Engineering in Medicine and Biology Magazine

Volumn 19, Issue 1, 2000, Pages 84-91

  Zahlmann, Gudrun ^a,b   Scherf, M ^a   Wegner, A ^c   Obermaier, M ^c   Mertz, M ^c  

^a Natl Res Ctr Environ and Hlth   (Germany)

^b INSTITUTE OF EPIDEMIOLOGY   (Germany)

^c NONE

Author keywords

[No Author keywords available]

Indexed keywords

DECISION SUPPORT SYSTEMS; FUZZY SETS; KNOWLEDGE BASED SYSTEMS; NEURAL NETWORKS;

DIFFERENTIAL DIAGNOSTIC DECISION SUPPORT SYSTEMS; HYBRID FUZZY NEURAL NETWORKS; RADIAL BASIS FUNCTION (RBF) NETWORKS; SITUATION ASSESSMENT;

COMPUTER AIDED DIAGNOSIS;

ACCURACY; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; DIFFERENTIAL DIAGNOSIS; GLAUCOMA; INTRAOCULAR PRESSURE; OPTIC NERVE; PERIMETRY; PRIMARY MEDICAL CARE; VISUAL FIELD;

ALGORITHMS; DECISION SUPPORT TECHNIQUES; DIAGNOSIS, COMPUTER-ASSISTED; FUZZY LOGIC; GLAUCOMA; HUMANS; INTRAOCULAR PRESSURE; NEURAL NETWORKS (COMPUTER); OPTIC DISK; PERIMETRY; SENSITIVITY AND SPECIFICITY; VISUAL FIELDS;

EID: 0033983343     PISSN: 07395175     EISSN: None     Source Type: Journal    
DOI: 10.1109/51.816247     Document Type: Article

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