Reducing reading time and assessing disease in capsule endoscopy videos: A deep learning approach.

Journal: International journal of medical informatics
PMID: 39817978

Abstract

BACKGROUND: The wireless capsule endoscope (CE) is a valuable diagnostic tool in gastroenterology, offering a safe and minimally invasive visualization of the gastrointestinal tract. One of the few drawbacks identified by the gastroenterology community is the time-consuming task of analyzing CE videos.

Authors

  • Luís Pinto
    University of Coimbra, CMUC, Department of Mathematics, Coimbra, Portugal. Electronic address: luisp@mat.uc.pt.
  • Isabel N Figueiredo
    University of Coimbra, CMUC, Department of Mathematics, Coimbra, Portugal. Electronic address: isabelf@mat.uc.pt.
  • Pedro N Figueiredo
    University of Coimbra, Faculty of Medicine, Coimbra, Portugal; Department of Gastroenterology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal. Electronic address: pnf11@sapo.pt.

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