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Gastrointestinal Endoscopy
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  • Articles
    • Cover Image - Gastrointestinal Endoscopy, Volume 97, Issue 6
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      • Original article Clinical endoscopy
        Open Access

        Detection of duodenal villous atrophy on endoscopic images using a deep learning algorithm

          Scheppach et al.
      • Original article Clinical Endoscopy
        Open Access

        Development and validation of artificial neural networks model for detection of Barrett’s neoplasia: a multicenter pragmatic nonrandomized trial (with video)

          Abdelrahim et al.
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        Comprehensive review of publicly available colonoscopic imaging databases for artificial intelligence research: availability, accessibility, and usability

          Houwen et al.
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  • Research Article2

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  • Abdelrahim, Mohamed1
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    • Original article Clinical endoscopy
      Open Access

      Computer-aided characterization of early cancer in Barrett’s esophagus on i-scan magnification imaging: a multicenter international study

      Gastrointestinal Endoscopy
      Vol. 97Issue 4p646–654Published online: November 29, 2022
      • Mohamed Hussein
      • David Lines
      • Juana González-Bueno Puyal
      • Rawen Kader
      • Nicola Bowman
      • Vinay Sehgal
      • and others
      Cited in Scopus: 0
      Author interview series
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        We aimed to develop a computer-aided characterization system that could support the diagnosis of dysplasia in Barrett’s esophagus (BE) on magnification endoscopy.
        Computer-aided characterization of early cancer in Barrett’s esophagus on i-scan magnification imaging: a multicenter international study
      • Original article Clinical Endoscopy
        Open Access

        Development and validation of artificial neural networks model for detection of Barrett’s neoplasia: a multicenter pragmatic nonrandomized trial (with video)

        Gastrointestinal Endoscopy
        Vol. 97Issue 3p422–434Published online: October 22, 2022
        • Mohamed Abdelrahim
        • Masahiro Saiko
        • Naoto Maeda
        • Ejaz Hossain
        • Asma Alkandari
        • Sharmila Subramaniam
        • and others
        Cited in Scopus: 0
        Author interview seriesOnline video
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        • Video
        The aim of this study was to develop and externally validate a computer-aided detection (CAD) system for the detection and localization of Barrett’s neoplasia and assess its performance compared with that of general endoscopists in a statistically powered multicenter study by using real-time video sequences.
        Development and validation of artificial neural networks model for detection of Barrett’s neoplasia: a multicenter pragmatic nonrandomized trial (with video)
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