Efficacy of an artificial neural network-based approach to endoscopic ultrasound elastography in diagnosis of focal pancreatic masses

Clinical Gastroenterology and Hepatology

Volumn 10, Issue 1, 2012, Pages

  Sǎftoiu, Adrian ^a,b   Vilmann, Peter ^b   Gorunescu, Florin ^a   Janssen, Jan ^c   Hocke, Michael ^d   Larsen, Michael ^e   Iglesias Garcia, Julio ^f   Arcidiacono, Paolo ^g   Will, Uwe ^h   Giovannini, Marc ⁱ   Dietrich, Cristoph F ^j   Havre, Roald ^k   Gheorghe, Cristian ^l   McKay, Colin ^m   Gheonea, Dan Ionuţ ^a   Ciurea, Tudorel ^a  

^a UNIVERSITY OF MEDICINE AND PHARMACY OF CRAIOVA   (Romania)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

^c UNIVERSITY OF WITTEN HERDECKE   (Germany)

^d Hospital Meiningen   (Germany)

^e ODENSE UNIVERSITY HOSPITAL   (Denmark)

^f Instituto de Salud Carlos III   (Spain)

^g VITA SALUTE SAN RAFFAELE UNIVERSITY   (Italy)

^h Klinikum Gera   (Germany)

ⁱ INSTITUT PAOLI CALMETTES   (France)

^j CARITAS KRANKENHAUS   (Germany)

^k UNIVERSITY OF BERGEN   (Norway)

^l FUNDENI CLINICAL INSTITUTE   (Romania)

^m GLASGOW ROYAL INFIRMARY   (United Kingdom)

more..

Author keywords

Cancer; Mass; Pancreas; Tissue Elasticity; Tumor

Indexed keywords

ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHRONIC PANCREATITIS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; ELASTOGRAPHY; ENDOSCOPIC ECHOGRAPHY; ENDOSCOPIC ULTRASOUND ELASTOGRAPHY; FEMALE; FOCAL PANCREATIC MASS; HISTOGRAM; HUMAN; IMAGE PROCESSING; MAJOR CLINICAL STUDY; MALE; PANCREAS ADENOCARCINOMA; PANCREAS TUMOR; SENSITIVITY AND SPECIFICITY; SINGLE BLIND PROCEDURE;

EID: 83855160778     PISSN: 15423565     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cgh.2011.09.014     Document Type: Article

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