| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 3283161 | Clinical Gastroenterology and Hepatology | 2012 | 8 Pages |
Abstract
Use of the artificial intelligence methodology via artificial neural networks supports the medical decision process, providing fast and accurate diagnoses.
Keywords
EUSANNFNAPPVMLPAUCfine-needle aspirationpositive predictive valuenegative predictive valuestandard deviationComputer-aided diagnosisTumorMassCancerendoscopic ultrasoundArtificial Neural NetworkCADconfidence intervalinformation technologyarea under the receiver operating characteristic curveNPV یا negative predictive valuePancreasMultilayer perceptronTissue elasticity
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Authors
Adrian SÄftoiu, Peter Vilmann, Florin Gorunescu, Jan Janssen, Michael Hocke, Michael Larsen, Julio Iglesias-Garcia, Paolo Arcidiacono, Uwe Will, Marc Giovannini, Cristoph F. Dietrich, Roald Havre, Cristian Gheorghe, Colin McKay, Dan IonuÅ£ Gheonea,