Evaluation of machine learning classifiers in keratoconus detection from orbscan ii examinations

Clinics

Volumn 65, Issue 12, 2010, Pages 1223-1228

  Souza, Murilo Barreto ^a   Medeiros, Fabricio Witzel ^a   Souza, Danilo Barreto ^a   Garcia, Renato ^a   Alves, Milton Ruiz ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Artificial intelligence; Clinical decision support systems; Corneal topography; Diagnosis; Neural networks

Indexed keywords

ADULT; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; FEMALE; HUMAN; INSTRUMENTATION; KERATOCONUS; KERATOMETRY; MALE; METHODOLOGY; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY;

ADULT; ARTIFICIAL INTELLIGENCE; CORNEAL TOPOGRAPHY; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; KERATOCONUS; MALE; NEURAL NETWORKS (COMPUTER); ROC CURVE; SENSITIVITY AND SPECIFICITY;

EID: 79951821735     PISSN: 18075932     EISSN: None     Source Type: Journal    
DOI: 10.1590/S1807-59322010001200002     Document Type: Article

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