https://www.selleckchem.com/pr....oducts/cd38-inhibito
Background and aims The endoscopic evaluation of narrow-band imaging (NBI)-zoom imagery in Barrett's esophagus (BE) is associated with suboptimal diagnostic accuracy and poor interobserver agreement. Computer-aided diagnosis (CAD) systems may assist endoscopists in the characterization of Barrett's mucosa. Our aim was to demonstrate feasibility of a deep-learning CAD system for tissue characterization of NBI-zoom imagery in BE. Methods The CAD system was first trained using 494,364 endoscopic images of general endoscopic imager
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