Towards deep-learning based detection and quantification of intestinal metaplasia on digitized gastric biopsies: a multi-expert comparative study.

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Title: Towards deep-learning based detection and quantification of intestinal metaplasia on digitized gastric biopsies: a multi-expert comparative study.
Authors: Cano F; Computer Imaging and Medical Applications Laboratory-Cim@lab, Universidad Nacional de Colombia, Bogotá D.C., Colombia., Caviedes M; Computer Imaging and Medical Applications Laboratory-Cim@lab, Universidad Nacional de Colombia, Bogotá D.C., Colombia., Siabatto A; Computer Imaging and Medical Applications Laboratory-Cim@lab, Universidad Nacional de Colombia, Bogotá D.C., Colombia., Villarreal J; Computer Imaging and Medical Applications Laboratory-Cim@lab, Universidad Nacional de Colombia, Bogotá D.C., Colombia., Quijano J; Computer Imaging and Medical Applications Laboratory-Cim@lab, Universidad Nacional de Colombia, Bogotá D.C., Colombia., Bedoya-Urresta Á; Fundación Centro de Investigación de Enfermedades Digestivas y Nutricionales-CIEDYN, Pasto, Colombia., Bedoya MC; Fundación Centro de Investigación de Enfermedades Digestivas y Nutricionales-CIEDYN, Pasto, Colombia., Caicedo YY; Fundación Centro de Investigación de Enfermedades Digestivas y Nutricionales-CIEDYN, Pasto, Colombia., Cruz-Roa A; GITECX Research Group & Automatic Data-driven Analytics Laboratory-AdaLab, Universidad de los Llanos, Meta, Colombia., González FA; Machine Learning, Perception and Discovery Lab-Mindlab, Universidad Nacional de Colombia, Bogotá D.C., Colombia., Viswanath SE; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, USA., Romero E; Computer Imaging and Medical Applications Laboratory-Cim@lab, Universidad Nacional de Colombia, Bogotá D.C., Colombia. edromero@unal.edu.co.
Source: Scientific reports [Sci Rep] 2026 Feb 26; Vol. 16 (1). Date of Electronic Publication: 2026 Feb 26.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-025-32737-w