Deep learning-based detection of eosinophilic esophagitis.

Journal: Endoscopy
PMID: 34058769

Abstract

BACKGROUND: For eosinophilic esophagitis (EoE), a substantial diagnostic delay is still a clinically relevant phenomenon. Deep learning-based algorithms have demonstrated potential in medical image analysis. Here we establish a convolutional neuronal network (CNN)-based approach that can distinguish the appearance of EoE from normal findings and candida esophagitis.

Authors

  • Pedro Guimarães
    Chair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.
  • Andreas Keller
    Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany; Center for Bioinformatics, Saarland Informatics Campus, 66123 Saarbrücken, Germany. Electronic address: andreas.keller@ccb.uni-saarland.de.
  • Tobias Fehlmann
    Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
  • Frank Lammert
    Department of Medicine II, Saarland University Medical Center, Saarland University, Homburg, Germany.
  • Markus Casper
    Department of Medicine II, Saarland University Medical Center, Saarland University, Homburg, Germany markus.casper@uks.eu.

Keywords

External Resources

Popular Topics
Recent Journals