Jelmer B Jukema, Carolus H J Kusters, Martijn R Jong, Kiki N Fockens, Tim Boers, Joost A van der Putten, Roos E Pouw, Lucas C Duits, BasL A M Weusten, Lorenza Alvarez Herrero, Martin H M G Houben, Wouter B Nagengast, Jessie Westerhof, Alaa Alkhalaf, Rosalie Mallant-Hent, Pieter Scholten, Krish Ragunath, Stefan Seewald, Peter Elbe, Francisco Baldaque Silva, Maximilien Barret, Jacobo Ortiz Fernández-Sordo, Guiomar Moral Villarejo, Oliver Pech, Torsten Beyna, Nahid S M Montazeri, Fons van der Sommen, Peter H de With, A Jeroen de Groof, Jacques J Bergman
BACKGROUND & AIMS: Characterization of visible abnormalities in Barrett esophagus (BE) patients can be challenging, especially for unexperienced endoscopists. This results in suboptimal diagnostic accuracy and poor inter-observer agreement. Computer-aided diagnosis (CADx) systems may assist endoscopists. We aimed to develop, validate and benchmark a CADx system for BE neoplasia. METHODS: The CADx system received pretraining with ImageNet with consecutive domain-specific pretraining with GastroNet which includes 5 million endoscopic images...
April 16, 2024: Gastrointestinal Endoscopy