Multimodal imaging for detection and segmentation of Barrett’s esophagus-related neoplasia using artificial intelligence

Alanna Ebigbo, Robert Mendel, Andreas Probst, Michael Meinikheim, Michael F. Byrne, Helmut Messmann, Christoph Palm

Artificial intelligence (AI)-assisted detection and segmentation of Barrett’s esophagus-related neoplasia. The AI system accurately detects and delineates even a small island of dysplasia in real-time multimodal imaging endoscopic examinations. NBI, narrow-band imaging; TXI, texture and color enhancement imaging.

Link to publication

Previous
Previous

Editorial: Artificial Intelligence–Aided Colonoscopy for Characterizing and Detecting Colorectal Polyps: Required, Nice to Have, or Overhyped?

Next
Next

Vessel and tissue recognition during third-space endoscopy using a deep learning algorithm