Artificial Intelligence and Capsule Endoscopy: Automatic Detection of Small Bowel Blood Content Using a Convolutional Neural Network.

Journal: GE Portuguese journal of gastroenterology
Published Date: Sep 27, 2021

Abstract

INTRODUCTION: Capsule endoscopy has revolutionized the management of patients with obscure gastrointestinal bleeding. Nevertheless, reading capsule endoscopy images is time-consuming and prone to overlooking significant lesions, thus limiting its diagnostic yield. We aimed to create a deep learning algorithm for automatic detection of blood and hematic residues in the enteric lumen in capsule endoscopy exams.

Authors

  • Miguel Mascarenhas Saraiva
    Department of Gastroenterology, São João University Hospital, Porto, Portugal.
  • Tiago Ribeiro
    Department of Gastroenterology, São João University Hospital, Porto, Portugal.
  • João Afonso
    Department of Gastroenterology, São João University Hospital, Porto, Portugal.
  • João P S Ferreira
    Department of Mechanical Engineering, Faculty of Engineering of the University of Porto, Porto, Portugal.
  • Hélder Cardoso
    Department of Gastroenterology, São João University Hospital, Porto, Portugal.
  • Patrícia Andrade
    Department of Gastroenterology, São João University Hospital, Porto, Portugal.
  • Marco P L Parente
    Department of Mechanical Engineering, Faculty of Engineering of the University of Porto, Porto, Portugal.
  • Renato N Jorge
    Department of Mechanical Engineering, Faculty of Engineering of the University of Porto, Porto, Portugal.
  • Guilherme Macedo
    Department of Gastroenterology, São João University Hospital, Porto, Portugal.

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