Convolutional neural network detects malignant cholangioscopy image features

Convolutional neural network detects malignant cholangioscopy image features

LAS VEGAS – A trained convolutional neural network detected key cholangioscopy image features suggestive of malignancy supporting intra-procedural decision making, according to a presentation at the ACG Annual Scientific Meeting.“Indeterminate biliary strictures remain a diagnostic challenge despite advancements in radiologic, endoscopic and laboratory testing,” Bachir Ghandour, MD, a postdoctoral research fellow at Johns Hopkins University Hospital, said. “It has been reported that up to 25% of patients presumed to have malignant strictures during cholangioscopy showRead More

Share on facebook
Share on twitter
Share on linkedin