1. Efficacy of an Artificial Neural Network–Based Approach to Endoscopic Ultrasound Elastography in Diagnosis of Focal Pancreatic Masses 
Adrian Săftoiu, 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 Ionuţ Gheonea, Tudorel Ciurea 
Clinical Gastroenterology and Hepatology 
Volume 10, Issue 1, Pages e1 (January 2012)
DOI: /j.cgh
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2. Figure 1
Chronic pseudotumoral pancreatitis in a 41-year-old man (mixed EUS elastography aspect).
Clinical Gastroenterology and Hepatology  , e1DOI: ( /j.cgh )
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3. Figure 2
Pancreatic adenocarcinoma in a 64-year-old man (hard EUS elastography aspect).
Clinical Gastroenterology and Hepatology  , e1DOI: ( /j.cgh )
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4. Figure 3
Pancreatic adenocarcinoma correctly diagnosed by AAN. Two different frames from the same patient with completely different elastographic appearance: (A) a soft-mixed aspect suggesting chronic pancreatitis, and (B) a hard aspect suggesting pancreatic cancer.
Clinical Gastroenterology and Hepatology  , e1DOI: ( /j.cgh )
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5. Supplementary Figure 1
The scheme of the ANN with 2 hidden layers used in the study for the differential diagnosis between chronic pseudotumoral pancreatitis and pancreatic cancer.
Clinical Gastroenterology and Hepatology  , e1DOI: ( /j.cgh )
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