@article{d5a1c299c42945baa592c24b6b0212d4,
title = "Efficacy of an artificial neural network-based approach to endoscopic ultrasound elastography in diagnosis of focal pancreatic masses",
abstract = "By using strain assessment, real-time endoscopic ultrasound (EUS) elastography provides additional information about a lesion's characteristics in the pancreas. We assessed the accuracy of real-time EUS elastography in focal pancreatic lesions using computer-aided diagnosis by artificial neural network analysis.",
keywords = "Academic Medical Centers, Adolescent, Adult, Aged, Aged, 80 and over, Elasticity Imaging Techniques, Europe, Female, Humans, Male, Middle Aged, Neural Networks (Computer), Pancreatic Diseases, Predictive Value of Tests, Prospective Studies, ROC Curve, Sensitivity and Specificity, Software, Video Recording, Young Adult",
author = "Adrian S{\u a}ftoiu and Peter Vilmann and Florin Gorunescu and Jan Janssen and Michael Hocke and Michael Larsen and Julio Iglesias-Garcia and Paolo Arcidiacono and Uwe Will and Marc Giovannini and Dietrich, {Cristoph F} and Roald Havre and Cristian Gheorghe and Colin McKay and Gheonea, {Dan Ionu{\c t}} and Tudorel Ciurea and {European EUS Elastography Multicentric Study Group}",
note = "Copyright {\textcopyright} 2012 AGA Institute. Published by Elsevier Inc. All rights reserved.",
year = "2012",
doi = "10.1016/j.cgh.2011.09.014",
language = "English",
volume = "10",
pages = "84--90.e1",
journal = "Clinical Gastroenterology and Hepatology",
issn = "1542-3565",
publisher = "W.B./Saunders Co",
number = "1",
}